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ISQBPPresident’smeeting2016–19-22June
Abstract book
2016PRESIDENT’SMEETING
GrandHotelTerminus,Bergen,Norway,19-22June
08Fall
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ISQBPPresident’smeeting2016–19-22June
ScientificCommittee
Nathalie Reuter (University of Bergen, Norway) [email protected] Bjørn Olav Bransdal (Arctic University Tromsø, Norway) [email protected] Michele Cascella (University of Oslo, Norway) [email protected]
OrganizingCommittee
Pierre Bèdoucha (University of Bergen, Norway) [email protected] Nathalie Reuter (University of Bergen, Norway) [email protected] Edvin Fuglebakk (University of Bergen, Norway) [email protected] Bojan Krtenic (University of Bergen, Norway) [email protected] Lars Skjærven (University of Bergen, Norway) [email protected] Sandhya Tiwari (Riken, Japan) [email protected] Tom Venken (University of Bergen, Norway) [email protected] Qaiser Waheed (University of Bergen, Norway) [email protected]
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ISQBPPresident’smeeting2016–19-22June
ListofparticipantsLastname Firstname E-mailregulardelegates Basdevant Nathalie [email protected] Pierre [email protected] Iain [email protected] BjørnOlav [email protected] Daniel [email protected] Michele [email protected] Andrea [email protected] JinxiaNancy [email protected] Patrick [email protected] Edvin [email protected] Thomas [email protected] Abir [email protected] ElsaSanchez [email protected] Natacha [email protected] Cory [email protected] Ole [email protected] HimaBindu [email protected] Filip [email protected] MariaLaura [email protected] Klaus [email protected] Xabier [email protected]ønstadBleken Francesca [email protected] Alicia [email protected] Herve [email protected] Kwangho [email protected] BiancaCelidet [email protected] Nathalie [email protected] Anna [email protected] Nigel [email protected] Sophie [email protected] Patricia [email protected] Lars [email protected] Pandian [email protected] Ole [email protected] Sandhya [email protected] Joanna [email protected] Stefano [email protected] Sofia [email protected] Tom [email protected] Chandra [email protected] Qaiser [email protected] Bacle Amelie [email protected] Mahdi [email protected] SigbjørnLøland [email protected]
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ISQBPPresident’smeeting2016–19-22June
Christensen Mikkel [email protected] Jerôme [email protected] Chunxia [email protected] YossaDwi [email protected] Ivan [email protected] Stefan [email protected] Mathew [email protected] LucyKate [email protected] Xujun [email protected] Nicholas [email protected] Majda [email protected] Vladimiras [email protected] Nicolas [email protected] Raphael [email protected] Michael [email protected] Caroline [email protected] Thibault [email protected] Talia [email protected] Sanja [email protected] Brooks Charles [email protected] Thomas [email protected] Vlad [email protected] Annick [email protected] Carmen [email protected] Marta [email protected] William [email protected] Syma [email protected] Carmay [email protected] Alexander [email protected] Lennart [email protected] Modesto [email protected] Monte [email protected] Carol [email protected] Rebecca [email protected]
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ISQBPPresident’smeeting2016–19-22June
Sunday, June 19th
9:50 City Walk (only for registered participants)
13:30 – 15:30 Registration
15:00 Welcome snack
15:20 Meeting opening
Session: Nucleic Acids I - Chair: Tom Cheatham
15:30 Modesto Orozco
Simulating DNA from the electron to the chromosome
16:10 Montgomery Pettitt
DNA confined: Advantages of non-linear behavior
16:50 Coffee break
17:10 Mahdi Bagherpoor Helabad
The role of Protein-DNA interactions in the DNA binding specificity of hormone receptors
17:30 Lennart Nilsson
Triplex forming oligonucleotides and gene therapy
18:10 Vlad Cojocaru
From decoding dynamics to tailoring cooperativity in protein-DNA interactions
19:00 Dinner at Terminus hotel (only for registered participants)
Monday, June 20th
Session: Nucleic Acids II - Chair: Lennart Nilsson
8:30 Thomas E. Cheatham III
Challenges and successes in modeling RNA structure, dynamics and interactions with ions.
9:10 Joanna Trylska
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ISQBPPresident’smeeting2016–19-22June
Interactions of aminoglycoside antibiotics with RNA
9:30 Filip Lankas
Modelling allosteric effects in DNA
9:50 Coffee break
Session: protein-lipid interactions - Chair: Michele Cascella
10:10 Carmen Domene
Computational approaches to the molecular thermometers of the human body
10:50 Syma Khalid
Molecular simulations that put the chemical complexity into model bacterial membranes
11:30 Stefano Vanni
Taking advantage of membrane diversity in intracellular trafficking pathways
11:50 Michael Schauperl
Explaining the recognition process of ice binding proteins
11:50-13:30 Lunch Break
Session: ISQBP awards talks - Chair: Alex MacKerell
13:30 Rebecca Wade - ISQBP Award in Computational Biology
In silico prediction of biomolecular recognition
14:30 Marta Filizola - ISQBP Loew Lectureship
New Challenges and Opportunities in G Protein-Coupled Receptor Drug Discovery
15:30 Coffee Break and Poster session
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ISQBPPresident’smeeting2016–19-22June
17:40 Recommended departure to Welcome ceremony (by foot)
18:00 Welcome ceremony by the City of Bergen (at the University Aula, Cf. map)
Tuesday, June 21st
Session: Drug design I - Chair: Annick Dejaegere
8:30 William L.Jorgensen
Design and Discovery of Potent Enzyme Inhibitors
9:10 Daniel Cappel
Rigorous Free Energy Calculations Applied to Protein Homology Models
9:30 Elsa Sánchez-Garcia
Supramolecular Ligands as Regulators of Biomolecular Interactions
9:50 Coffee Break
Session: Drug design II - Chair: Bjørn Olav Brandsdal
10:10 Carmay Lim
Using an old drug to target a new drug site
10:50 Sanja Zivanovic
Multi-level strategy for analysis of bioactive drug conformations
11:10 Chandra Verma
Stapled diets: tackling resistance
11:30 ISQBP General Assembly
12:00-13:30 Lunch Break
Session: Methodological Advances I - Chair: William L. Jorgensen
13:30 Alex MacKerell
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ISQBPPresident’smeeting2016–19-22June
Overview of the Classical Drude Oscillator Polarizable Force Field for Biomolecules
14:10 Charles L.Brooks III
High-throughput, free energy based ligand discovery and optimization using multi-site λ-dynamics
14:50 Hima Bindu Kolli
Hybrid Particle-Field Approach with Electrostatics for Mesoscale Biomolecular Simulations
15:10 Iain Bethune
Molecular Integration Simulation Toolkit - interfacing novel integrators with Molecular Dynamics codes.
15:30 Coffee Break
18:30 Recommended departure from Grand Hotel Terminus (by foot, Cf. map)
19:00 Boat departure to Cornelius på Holmen, Conference Dinner, sponsored by the Journal of Chemical Theory and Computation (JCTC)
Wednesday, June 22nd
Session: Methodological Advances II – chair: Vlad Cojocaru
8:50 Thomas Gaillard
Computational Protein Design with an MMGBSA Energy Function
9:10 Kwangho Nam
Development and acceleration of multiscale QM/MM methods for simulations of complex biomolecular systems
9:30 Xabier Lopez
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ISQBPPresident’smeeting2016–19-22June
Aluminum and bioligand interactions with phosphate containing groups.
9:50 Coffee Break
Session: Enzyme and protein dynamics – chair: Nathalie Reuter
10:10 Annick Dejaegere
Structural dynamics and signalling mechanisms in nuclear retinoid receptors
10:50 Carol Post
An unusual allosteric mechanism for regulating protein interactions of Syk tyrosine kinase
11:30 Natacha Gillet
Understanding Charge Transfer in Cryptochromes and Photolyases via QM/MM Simulations: Application to PhrB Protein
11:50 Thibault Tubiana
Norovirus Capsid Assembly
12:10 Closing remarks
12:30 Lunch
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ISQBPPresident’smeeting2016–19-22June
Talks
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ISQBPPresident’smeeting2016–19-22June
T1:SimulatingDNAfromtheelectrontothechromosome
M.Orozco*[1,2,3]
[1]InstituteforResearchinBiomedicine(IRBBarcelona),TheBarcelonaInstituteofScienceandTechnology,Barcelona,Spain
[2]JointBSC-IRBResearchPrograminComputationalBiology,Barcelona,Spain
[3]DepartmentofBiochemistryandMolecularBiology,UniversityofBarcelona,Barcelona,Spain
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ISQBPPresident’smeeting2016–19-22June
T2:DNAconfined:AdvantagesofNon-linearbehavior
B.M.Pettitt*[1,2,3]
[1]SealyCenterforStructuralBiologyandMolecularBiophysics,UniversityofTexasMedicalBranch(UTMB),USA
[2]DepartmentofPharmacologyandToxicology,UTMB
[3]BiochemistryandMolecularBiology,UTMB
ThenonlinearelasticpropertiesofDNAmoleculesaresensitivetoenvironment.DNAisdoublestrandedandoccasionallyknottedbutmustopentoforreplication,repair,transcriptionandrecombination.Onopeningtheelasticpersistencelengthchangesbyovertwoordersofmagnitude.Thesizeofmanyvirusorphagecapsidsisthesameasthepersistencelengthmakingpackingofperfecthelicesunreasonable.TheinterfacebetweenhardsurfacesorproteinsandnucleicacidschangesthepropertiesofDNA..Interfacesofferlargeelectrostaticfieldsanddensitygradientschangingthelocalfreeenergysurfaceandthereforeformachallengingsetofproblemsincurrentdesignissues.WeshowsimpleanalyticmodelsformeltingtemperatureshiftsinreasonableagreementwithexperimentforbothDNA.Ourcoarsegrainedmodelsdescribeaspectsofsequenceandtargetlengthdependence.Ourdescriptionofphagepackingincludesatomicandcoarsegrainedsimulations.
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ISQBPPresident’smeeting2016–19-22June
T3:TheroleofProtein-DNAinteractionsintheDNAbindingspecificityofhormonereceptors
M.BagherpoorHelabad*[1],P.Imhof[2]
[1]DepartmentofPhysics,FreeUniversityofBerlin,Germany
[2]DepartmentofPhysics,FreeUniversityofBerlin,Germany
-HorrmonereceptorssuchastheAndrogen(AR)andGlococorticoid(GR)receptorbindtogenomicresponseelementsandregulategenetranscriptionwithinthecell.Bothreceptorsbindasahomo-dimeronthesameinvertedrepeatelements5–AGAACA–3.However,GRfailstobindtodirectrepeatswhereasARformsstableenoughprotein-(DR)DNAcomplexestoallowcrystallization.Thisdifferentbehavior,whichcanberegardedasacrucialkeyinspecificregulationuponhormonebinding,hasbeendiscussedtooriginateindifferencesintheproteindimerstabilityordimerformationratherthaninprotein-DNAinteraction.Inthelightofthelargesimilarityofthetwohormonereceptorproteinsandtheirsubtledifferencesinspecificityweareexploringwhichfactorsinprotein-DNAinteractionorintheproteinsubunit-subunitinteractionallowthereceptorproteinstorecognizetheirspecificsiteamonganoverwhelmingnumberofnon-specificDNAsequences.Also,neighboringeffectontheDNAhavebeenstudiedtoshowhowflankingsitesareessentialinprotein-DNAinteraction.Wehaveperformedmoleculardynamics(MD)simulationsofdirectandinvertedresponseelementswithandwithoutpresenceofproteinsaswellasGlococorticoidreceptor-DNAsystemswithdifferentflankingbases.Changingtheflankingsitebasesappearstoresultinadifferentrelativepositioningofthedimer-halves.Moreover,hydrogen-bondandcorrelationanalysesshowthatthetworeceptors(ArandGR)interactdifferentlywiththetwohalf-sites.
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ISQBPPresident’smeeting2016–19-22June
T4:Triplexformingoligonucleotidesandgenetherapy
L.Nilsson*[1],A.Villa[1],Y.Xu[1],Y.Hartono[1],C.I.E.Smithe[2],K.Lundin[2],V.Pabon[2],R.Zain-Luqman[3]
[1]Dept.Biosci.Nutr.,KarolinskaInstitutet,Sweden
[2]Dept.Lab.Med.,KarolinskaInstitutet,Sweden
[3]Dept.Wom.Child.Health,KarolinskaInstitutet,Sweden
Aneverincreasingnumberofpathologicalconditionshavebeenfoundtohavegeneticcomponents.Sometimesasingledefectivegene(e.g.Huntingtons’s),othertimesmorecomplexmultigenecausesareimplicated.Ifthecauseisanon-functionalgene(i.e.,theproteinproductdoesnotwork)itmighthelptosupplythecellwithagoodcopyofthegeneinquestion–genetherapy.Thereplacementgeneconstructcanbecontainedinaplasmid,whichhastobedeliveredtothenucleus.Bydecoratingtheplasmidinamodularwaywithfunctionalgroups,themachineryalreadypresentinthecellmaybe'hi-jacked'toperformthisdelivery.
Weusesimulationstooptimizethecomposition(includingtheuseofmodifiednucleotides,e.g.LNAornovelbases)andsequenceoftriplexformingoligonucleotides(TFOs)tobindwithhighaffinityandspecificitytodoublestrandedDNAandfunctionasananchorforfunctionalgroupsdecoratingaplasmidcarryinggeneticmaterialtobeintroducedinthenucleus.SystematicfreeenergycalculationsareappliedtosetsofsystemswiththemodifiednucleotidesindifferentpositionsanddifferentsequencecontextsintheTFO.
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ISQBPPresident’smeeting2016–19-22June
T5:Fromdecodingdynamicstotailoringcooperativityinprotein-DNAinteractions
V.Cojocaru*[1]
[1]ComputationalStructuralBiologyLaboratory,DepartmentofCellandDevelopmentalBiology,MaxPlanckInstituteforMolecularBiomedicine,Germany
Protein-DNAinteractionsareatthecoreoftranscriptionalregulatorynetworksdefiningcellularidentities.Iwillfocusonoureffortstodescribethedynamicsunderlyingprotein-DNAinteractionsusingatomisticsimulations.Inparticular,IwillpresentourrecentprogressindecipheringdynamicmechanismsofcooperativeDNAbindingbytranscriptionfactorsandhowthesemayimpactoncellfatedecisions.Engineeredtransitionsbetweendifferentcelltypeshaveagreatpotentialtoinfluencefutureregenerativetherapyapproachesandareusuallyinducedbycocktailsofveryfewtranscriptionfactors.Todesignoptimizationstrategiesforsuchcellularprocesses,itiscrucialtounderstandthemechanismsbywhichthetranscriptionfactorsrecognizeDNAfrombothagenomicandanatomisticperspective.Iwillreflectonhowourdataandmolecularsimulationsingeneralmaycontributetothisimportantbiologicalandmedicalproblem.
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ISQBPPresident’smeeting2016–19-22June
T6:It'snotallbroken:ChallengesandsuccessesinmodelingRNAstructure,dynamicsandinteractionswithions.
T.Cheatham*[1]
[1]DepartmentofMedicinalChemistry,UniversityofUtah,SaltLakeCity,USA
RNAforcefieldscontinuetoimproveandprovideanaccurateunderstandingofion-dependentconformationalchangesorfolding,yetatthesametimetherearestillseriouslimitations.Wecanexposetheselimitationsbyovercomingsamplingproblemsthroughverylargescaleensemblesimulations.Exposingthelimitationsprovideshintsastohowtoadaptorimprovetheforcefieldaswemovetowardsmethodstomoresystematicallytestandevolvethenucleicacidforcefields.
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ISQBPPresident’smeeting2016–19-22June
T7:InteractionsofaminoglycosideantibioticswithRNA
J.Trylska[1]*,
[1]CentreofNewTechnologies,UniversityofWarsaw,Poland
ManyantibioticstargetbacterialribosomalRNAbybindingtoitsfunctionallyimportantsites.Onecrucialsiteisthedecodingsite,whichisalsothebindingsiteforaminoglycosideantibiotics.AminoglycosidebindingdecreasestheaccuracyofdecodingbyaffectingthemobilityoftwoadeninestakingpartintherecognitionofcognatetRNAs.
Iwouldliketodescribeoureffortstounderstand(thermo)dynamicsofaminoglycosiderecognitionbyribosomalRNA.AminoglycosidebindingsiteformsaflexibleRNAbulgeandevensinglepointmutationschangeaminoglycosideaffinities.WeapplymoleculardynamicssimulationstoinvestigatethereasonsfordifferentselectivitiesofaminoglycosidestowardtheirRNAbindingsitesofvariousorganisms.Wealsocomparethebindingmodesofdifferentaminoglycosidestoproposeaminoglycosidemodificationsthatwouldenhancetheiraffinitiesandreducebacterialresistance.
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ISQBPPresident’smeeting2016–19-22June
T8:ModellingallostericeffectsinDNA
T.Drsata[1,2],F.Lankas*[1]
[1]InstituteofOrganicChemistryandBiochemistry,AcademyofSciencesoftheCzechRepublic,Prague,CzechRepublic
[2]DepartmentofPhysicalandMacromolecularChemistry,FacultyofScience,CharlesUniversityPrague,CzechRepublic
IthasbeenincreasinglyappreciatedthatallostericeffectstakeplacenotonlyinproteinsbutalsoinDNA.Intherecentyears,severalexperimentalworksinvestigatedDNAallosteryinvolvingsmallmolecules,someofthemprospectivedrugs(1,2)aswellasproteins(3),butaplausibletheoreticalmodelwasmissing.WehaveproposedatheoreticalframeworktodescribeDNAallostery(4,5).OurmodelrepresentstheDNAasalinearelasticsystemincludingintra-basepairandinter-basepaircoordinates,andgroovewidths.Theshapeandstiffnessparametersareinferredfromlarge-scale,atomic-resolutionunrestrainedmoleculardynamicssimulationsofDNAoligomers.Theresultingelasticenergyfunctionthenundergoesconstrainedminimization,withallostericeffectorbindingmimickedbytheconstraints.Theassumptionofquadratic(harmonic)deformationenergyallowsustofindananalyticsolutionfortheminimum.ThemodelhasbeenusedtonearlyquantitativelypredictvariousallostericeffectsinDNAinvolvingsmallmoleculesandproteins(4,5).Wewillbrieflypresentthemodel,discussitsadvantagesandlimitations,andshowsomeofitsapplications.
1.Chenoweth,D.M,Dervan,P.B.(2009):AllostericmodulationofDNAbysmallmolecules.Proc.Natl.Acad.Sci.USA106,13175-13179
2.Tevis,D.S.,...,Wilson,W.D.(2009):Large,sequence-dependenteffectsonDNAconformationbyminorgroovebindingcompounds.NucleicAcidsRes.37,5550-5558
3.Kim,S.etal.(2013):ProbingallosterythroughDNA.Science339,816-819
4.Drsata,T.,...,Lankas,F.(2014).MechanicalmodelofDNAallostery.J.Phys.Chem.Lett.5,3831-3835
5.Drsata,T.,...,Lankas,F.(2016).OntheuseofmoleculardynamicssimulationsforprobingallosterythroughDNA.Biophys.J.110,874-876
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ISQBPPresident’smeeting2016–19-22June
T9:Computationalapproachestothemolecularthermometersofthehumanbody
C.Domene*[1]
[1]DepartmentofChemistry,King'sCollegeLondon,UK
Transientreceptorpotential(TRP)ionchannelsconstituteanotablefamilyofcationchannelsinvolvedintheabilityoforganismstodetectnoxiousmechanical,thermalandchemicalstimulithatgivesrisetotheperceptionofpain.OneofthemostexperimentallystudiedagonistofTRPchannelsiscapsaicin,whichisresponsiblefortheburningsensationproducedwhenchilipepperisincontactwithorganictissues.UnderstandinghowTRPchannelsareregulatedbycapsaicinandothernaturalproductsisessentialtohighimpactpharmacologicalapplications,particularlythoserelatedtopaintreatment.Byselectedexamplesfromtheworkwehavecarriedout,Iwillprovideanoverviewofthecurrentknowledgewehaveaboutactivation,permeationandselectivityofoneofthehumanmolecularthermometers.
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ISQBPPresident’smeeting2016–19-22June
T10:Molecularsimulationsthatputthechemicalcomplexityintomodelbacterialmembranes
D.Jefferies,P.C.Hsu,J.Graham,S.Khalid*
[1]SchoolofChemistry,UniversityofSouthampton,UnitedKingdom
Allcells,whetherprokaryoticoreukaryotic,areseparatedfromtheexternalenvironmentbyatleastonemembrane.Thesemembranesprovideaphysicalbarriertotheentryofunwantedortoxicsubstancesincludingdrugs,intotheinteriorofthecell.Toenterthecell,drugsmusteitherpermeatethroughthelipidcomponentofthebilayers,orthroughtheproteinsthatareembeddedwithinthemembranes.Thenativemembraneproteinsareestimatedtobethetargetsof>50%ofdrugs.
Somedrugs,includingmanyantibioticsworkbycausingcelllysisthroughdirectdisruptionofthecellmembrane,ratherthanentryintothecell.Thusitisclear,thatunderstandingthecellmembranesofbacteriaareimperativeforthefuture,rationaldesignofnoveldrugs,inparticularantibiotics.IwillpresentresultsofourrecenteffortstosimulatetheinteractionofantimicrobialpeptidesandothermoleculessuchasfullereneswiththemembranesofGram-negativebacteria.Iwillfirstdescribehowwehaveconstructedrealistic,complexmodelsofthemembranesattwodifferentlevelsofresolution,followedbyadiscussionofhowthemodelsarebeingusedtounderstandtheactionofmembrane-activechemicalspecies.Iwillconcludewithadiscussionoffuturedirectionsandpossibilitiesforcollaborationwithexperimentalcolleagues.
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ISQBPPresident’smeeting2016–19-22June
T11:Takingadvantageofmembranediversityinintracellulartraffickingpathways
S.Vanni*[1],R.Gautier[1],H.Hisaaki[1],M.Magadelene[1],B.Antonny[1].
[1]InstitutdePharmacologieMoleculaireetCellulaire,CNRS,France
Biologicalmembranesplayanessentialroleinmanycellularsignalingpathways.Yet,becauseofdifficultiesinperformingstructuralstudiesonlipidmembranes,severaloftheirmolecularpropertiesremainelusive,thuspreventingtoestablishclearstructure-functionrelationships.
Toovercometheselimitationsandtoelucidatetheroleofmembranepropertiesindifferenttraffickingpathways,wedevelopedamultidisciplinaryapproachthatcombinesmoleculardynamicssimulationswithexperimentalmeasurementsinvitroandinvivo.
Inthistalk,Iwillpresentourrecenteffortstodevelopnewexperimentalandcomputationalapproachestofurtherpushforwardourunderstandingofcellularmembranesinmolecularterms.
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ISQBPPresident’smeeting2016–19-22June
T12:Explainingtherecognitionprocessoficebindingproteins
MichaelSchauperl*[1],KlausR.Liedl[1]
[1]InstituteofGeneral,InorganicandTheoreticalChemistry/TheoreticalChemistryandCenterforMolecularBioscienes(CMBI),UniversityofInnsbruck,Austria
Purewaterfreezesat-37°C,becausetheformationoficeiskineticallyhinderedathighertemperatures.[1]Thecommonknownpropertyofwater,freezingat0°C,resultsonlyfromimpuritiesinthewateractingasicenuclei.Icenucleiaresubstancescatalyzingtheformationofice.Thisphenomenonisespeciallysignificant,whenwaterisfoundinsmalldroplets,asitisintheartificialsnowproductionandtheformationofcloudsintheatmosphere,whereithasahugeimpactontheearth’sclimate.[3]
Experimentalstudiesshowedthatthemostefficientclassofknownicenucleiareproteins.Theseproteinsaretermedicenucleationproteins[2]andcatalyzefreezingofwateralreadyathighertemperatures(0to-5°C).
Themechanismoficenucleationitselfispoorlyunderstood,whenseeninrelationtoitsrelevance.Inourstudiesweinvestigatedtheicenucleationprocessbymoleculardynamicssimulationstogaininsightintheunderlyingprinciple.Thefocusinthisstudywastodescribethehydrationpropertiesofwatermoleculesinthesurroundingoftheprotein.Ourstudyrevealedthaticenucleationisfacilitated,iftheenthalpicinteractionbetweenwaterandtheproteinislow,andincontrast,theentropyofthesurroundingwatermoleculesismediumorhigh.Basedontheseresults,weproposedanewimprovedmechanismfortheicenucleationprocessoficenucleationproteins.
[1]Murray,B.J.etal.E.Chem.Soc.Rev.2012,41,6519-6554.
[2]Pummer,B.G.etal.J.Atmos.Chem.Phys.2015,15,4077-4091.
[3]Morris,C.E.eta.lPhys.IVFrance2004,121,87–103.
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ISQBPPresident’smeeting2016–19-22June
T13:Insilicopredictionofbiomolecularrecognition
RebeccaC.Wade*[1,2]
[1]MolecularandCellularModelingGroup,HeidelbergInstituteforTheoreticalStudies(HITS),Heidelberg,Germany
[2]CenterforMolecularBiology(ZMBH)atHeidelbergUniversity,DKFZ-ZMBHAlliance,andInterdisciplinaryCenterforScientificComputing(IWR)Heidelberg,Germany
IwilldescriberecentapplicationsofmolecularmodellingandBrownian[1,2]andmoleculardynamicssimulationmethodstostudyinghowproteinsrecogniseandbindtotheirdiversebindingpartners.Iwilldiscussthepredictionofbothspecificandnon-specificinteractionsbetweenproteinswhilefocusingontheeffectsofmacromolecularcrowding[3],transientinteractionsofchaperoneproteins[4],andallostericregulationofglycolyticenzymes[5].
[1]Martinezetal.J.Comput.Chem.,(2015)36:1631-1645
[2]Yuetal.Nucl.AcidsRes.,(2015)43:W220-W22
[3]Balboetal,Biophys.J.,(2013)104:1576-84.
[4]Nillegodaetal.Nature,(2015)524:247–251
[5]Gdyniaetal,Nat.Commun.(2016)7:10764
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ISQBPPresident’smeeting2016–19-22June
T14:NewChallengesandOpportunitiesinGProtein-CoupledReceptorDrugDiscovery
M.Filizola*[1]
[1]DepartmentofStructuralandChemicalBiology,IcahnSchoolofMedicineatMountSinai,NewYork,NY
GProtein-CoupledReceptors(GPCRs)remainoneofthemostpursuedtargetsfordrugdevelopment,andthesubjectoffocusedstudies.However,muchhaschangedintheGPCRfieldsinceIjoinedDr.GildaLoew’sMolecularResearchInstitutefifteenyearsago.Forinstance,high-resolutioncrystalstructuresofGPCRshaveimprovedourperceptionofreceptorbindingandactivation,andhaveestablishednewdirectionsforunderstandingthemolecularmechanismsunderlyingthediversephysiologicalfunctionsmediatedbythesereceptors.Highperformancecomputationalcapabilities,combinedwithefficientlyparallelizedmoleculardynamicscodesand/ormultiscalesystemrepresentations,havealsoimproveddramatically,allowingustoreachtimescalesinmolecularsimulationsthatwereonceconsideredinaccessible.Whiletheseadvancementshavecreatednewopportunitiesforrationaldrugdiscovery,theyhavealsorevealednewchallenges.Takingfulladvantageofbothhigh-resolutioncrystallographicinformationandpowerfulcomputationalresources,mylabhasmostrecentlyfocusedontestingenhanced,moleculardynamics-basedstrategiesinanattempttoovercomethesechallengesandtocontributemechanisticdetailsofGPCRfunctionthatareimpossibleordifficulttoretrieveexperimentally.Iwillprovideafewexamplesoftheseapproachesandtheirresults.
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ISQBPPresident’smeeting2016–19-22June
T15:DesignandDiscoveryofPotentEnzymeInhibitors
W.L.Jorgensen*[1]
[1]DepartmentofChemistry,YaleUniversity,USA
Drugdiscoveryisbeingpursuedthroughcomputer-aideddesign,synthesis,biologicalassaying,andcrystallography.LeadidentificationfeaturesdenovodesignwiththeligandgrowingprogramBOMBordockingofcommercialcompoundlibraries.Thefocusofthislecturewillbeoptimizationoftheresultantleadstoyieldpotentinhibitors.Specifically,MonteCarlo/free-energyperturbation(FEP)simulationsareexecutedtoidentifythemostpromisingchoicesforsubstituentsonrings,heterocycles,andlinkinggroups.TheillustratedapplicationscenteronthedesignofinhibitorstargetingHIV-1reversetranscriptaseandmacrophagemigrationinhibitoryfactor.Micromolarleadshavebeenrapidlyadvancedtolownanomolarorpicomolarinhibitors,andnumerouscrystalstructuresfortheprotein-inhibitorcomplexeshavebeenobtained.DevelopmentofafluorescencepolarizationassayforMIFbindingwillalsobepresented.Keyissuesforsuccessareconsideredincludingconfidenceinthestructureofprotein-ligandcomplexes,biologicalassays,forcefields,atomicchargemodels,andconformationalsampling.
DiscoveryandcrystallographyofbicyclicarylaminoazinesaspotentinhibitorsofHIV1reversetranscriptase.Lee,W.-G.;Frey,K.M.;Gallardo-Macias,R.;Spasov,K.A.;Chan,A.H.;Anderson,K.S.;Jorgensen,W.L.Bioorg.Med.Chem.Lett.2015,25,4824-4827.
Design,Synthesis,andProteinCrystallographyofBiaryltriazolesasPotentTautomeraseInhibitorsofMacrophageMigrationInhibitoryFactor.Dziedzic,P.;Cisneros,J.A.;Robertson,M.J.;Hare,A.A.;Danford,N.E.;Baxter,R.H.G.;Jorgensen,W.L.J.Am.Chem.Soc.2015,137,2996-3003.
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ISQBPPresident’smeeting2016–19-22June
T16:RigorousFreeEnergyCalculationsAppliedtoProteinHomologyModels
D.Cappel*[1],W.Sherman[2]
[1]SchrödingerGmbH,Dynamostr.13,68259Mannheim,Germany
[2]SchrodingerInc.,120W45thSt.,NewYork,NY10036,USA
Oneofthemostprominentchallengesincomputer-aideddrugdesignisthereliableandaccuratepredictionofprotein-ligandbindingaffinities.Moleculardynamicsbasedfreeenergyperturbation(FEP)calculationsareamongthemostsuitablemethodstoreachthisgoal.RecentadvancementsinsamplingmethodsandforcefieldscoupledwithmoderncomputationalresourcesmakeFEPpracticalinadrugdesigncontext.[1-3]However,previousFEPvalidationworkshavereliedonaccuratecrystalstructures,whichareoftennotavailableindrugdiscoveryprojects.Assuch,theabilitytoapplyFEPonhomologymodelswouldgreatlyexpandthedomainofapplicabilityandvalueofFEPindrugdiscovery.InthisworkweapplytheFEP+procedure[2]oncongenericligandseriesbindingtofourdiversetargets(Tyk2kinase,anepigeneticbromodomaintargetBRD4,atransmembraneGPCRA2A,andBCL-2familyproteinMCL-1)usingcrystalstructuresandhomologymodels.Surprisingly,theperformanceusinghomologymodelsisgood,andgenerallyonaparwiththecrystalstructures.Thiscanbeattributedtothedynamicssimulations,whichallowthemodeledreceptortoadapttothe“real”conformation.
[1]C.D.Christ,T.Fox,JChemInfModel2014,54,108-120.
[2]L.Wang,Y.Wu,Y.Deng,B.Kim,L.Pierce,G.Krilov,D.Lupyan,S.Robinson,M.K.Dahlgren,J.Greenwood,D.L.Romero,C.Masse,J.L.Knight,T.Steinbrecher,T.Beuming,W.Damm,E.Harder,W.Sherman,M.Brewer,R.Wester,M.Murcko,L.Frye,R.Farid,T.Lin,D.L.Mobley,W.L.Jorgensen,B.J.Berne,R.A.Friesner,R.Abel,JAmChemSoc2015,137,2695-2703.
[3]T.B.Steinbrecher,M.Dahlgren,D.Cappel,T.Lin,L.Wang,G.Krilov,R.Abel,R.Friesner,W.Sherman,JournalofChemicalInformationandModeling2015,55,2411-2420
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ISQBPPresident’smeeting2016–19-22June
T17:SupramolecularLigandsasRegulatorsofBiomolecularInteractions
S.Mittal[1],K.Bravo-Rodriguez[1],E.Sanchez-Garcia*[1]
[1]DepartmentofTheory,Max-Planck-InstitutfürKohlenforschung,MülheimanderRuhr,Germany
Theinteractionsofproteinswithsmallmoleculescansignificantlyinfluencethefunctionalityofsystemsofdiversestructuralcomplexity.Ouraimistounderstandtheseassociationsinordertodesignmoleculesthatcanmodulateprotein–proteininteractions,amongothers.ThecombinationofMolecularDynamicssimulationswithFreeEnergycalculationsandQM/MMmethodsallowsustopredictligandbindingsitesinaproteinandtoproposeimprovedligandsabletoreachspecificproteinregionsofbiologicalrelevance.
Moleculartweezers(MT)actaspotenthostsforpositivelychargedresidues.ExperimentalstudieshaveshownthatMTarepromisingcandidatesfortheregulationofproteininteractions.(1)Inthiscontext,weinvestigatedthebishydrogenphosphatemoleculartweezerCLR01,withamyloidogenicpeptidestoproposemechanismsfortheinhibitionoftoxicaggregationbymoleculartweezers.(2-3)AsakeysteptowardthedesignofimprovedligandswealsoinvestigatedtheeffectofthesubstituentsintheabilityofMTstointeractwithaminoacidsandsmallpeptides.(4)ThestudyofMTswithproteinhostslike14-3-3adapterproteins,allowedustoestablishgeneralrulesforpredictingtherelativestrengthandtypeofinteractionofthetweezerswithspecificresiduesinproteinsfeaturingseveraltentativebindingsites.(5)Lastbutnotleast,byinvestigatingtheeffectofmoleculartweezersonlipidbilayers,wewereabletoproposeanovelmechanismforviralmembranedisruptionbyasupramolecularligand.
1. J.Am.Chem.Soc.2011,133,16958-16969.
2. ACSChem.Biol.2015,10,1555–1569.
3. elife,2015,4:e05397
4. J.Org.Chem.2013,78,6721-6734.
5. Nat.Chem.2013,5,234-239.
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ISQBPPresident’smeeting2016–19-22June
T18:Usinganolddrugtotargetanewdrugsite
Yu-MingLee[1],YulanderDuh[2],Shih-TingWang[2],MichaelM.C.Lai[2]HannaS.Yuan[2]andCarmayLim[1]*
[1]InstituteofBiomedicalSciences,AcademiaSinica,Taipei115,Taiwan
[2]InstituteofMolecularBiology,AcademiaSinica,Taipei115,Taiwan
Inviralproteins,labileZn-sites,whereZn2+iscrucialformaintainingthenativeproteinstructurebuttheZn-boundcysteinesarereactive,arepromisingdrugtargets.Here,weaimto(i)identifylabileZn-sitesinviralproteinsusingguidelinesestablishedfromourpreviousworkand(ii)assessifclinicallysafeZn-ejectingagentscouldejectZn2+fromthepredictedtargetsiteandthusinhibitviralreplication.Asproof-of-concept,weidentifiedalabileZn-siteinthehepatitisCvirus(HCV)NS5Aproteinandshowedthattheanti-alcoholismdrug,disulfiram,couldinhibitHCVreplicationtoasimilarextentastheclinicallyusedantiviralagent,ribavirin.ThediscoveryofanovelviraltargetandanewrolefordisulfiramininhibitingHCVreplicationwillenhancethetherapeuticarmamentariumagainstHCV.ThestrategypresentedcanalsobeappliedtoidentifylabilesitesinotherbacterialorviralproteinsthatcanbetargetedbydisulfiramorotherclinicallysafeZn-ejectors.
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ISQBPPresident’smeeting2016–19-22June
T19:Multi-levelstrategyforanalysisofbioactivedrugconformations
S.Zivanovic*[1,2],A.Hospital[1,2],M.Orozco[1,2,3]
[1]InstituteforResearchinBiomedicine(IRBBarcelona),TheBarcelonaInstituteofScienceandTechnology,Barcelona,Spain
[2]JointBSC-IRBResearch,Barcelona,Spain
[3]DepartmentofBiochemistryandMolecularBiology,UniversityofBarcelona,08028Barcelona,Spain
Computer-aideddrugdesign(CADD)isoneofthepowerfultoolswhichcanbeusedtoincreasetheefficiencyofthedrugdiscovery.Estimatingtherelativefreeenergyofaligandinitstarget-boundstate(bioactiveconformation)isnecessarytooptimizethepotencyofbioactivemoleculesandtoimprovetheaccuracyofSDBBmethods.Ouraimistodevelopanefficientframeworkforfindingthebioactiveconformationoftheflexibleligands.Sincethebioactiveconformationoftheligandmaydifferfromtheglobalminimumofthefreeligandinthephysiologicalenvironment,onehastoevaluatetheenergeticcostrequiredforadoptingthebioactiveconformation.Asetof100crystalstructuresofpharmaceuticallyrelevantdrug-likemoleculeswastestedusingmulti-levelapproach.Wecombinedlow-levelmethod(LL)forsamplingtheconformationalminimaandhigh-level(HL)ab-initiocalculationsforestimatingtheirrelativestabilityinordertoexaminetheconformationalspaceofflexibleligandsandtoobtaintherelativefreeenergyoftheconformationalwells.Themethodwasautomatedandtestedonvariousligandswithdifferentnumbersofatoms,chargeandrotatablebonds.ThepreliminaryresultsshowthatitisnecessarytoperformHamiltonianReplicaExchangesimulationsforLLmethodinordertoexploreallpossiblestatesofenergylandscapeofgivendihedrals.Ourfindingssuggestthatthemethodisaneffectivewaytoimproveanalysisofthebioactiveconformationsofdrug-likemolecules.Itisworthnotingthatpresentframeworkformultilevelstrategyisacomplexandlong-termtask,whichrequiresalotofrehearsalsandimplementations.Takingintoaccounttheflexiblenatureofmolecules,protonationstateandtautomericforms,makesourtaskevenmorechallenging.Theproposedstrategymayrepresentanefficienttoolforpredictingtheconformationallandscapeofdrugswhilekeepingareasonablebalancebetweenchemicalaccuracyandcomputationalcost.
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ISQBPPresident’smeeting2016–19-22June
T20:Stapleddiets:tacklingresistance
VermaC.*[1]
[1]BioinformaticsInstitute,A*Star,Singapore
Amajorproblemwithcurrentmoleculartherapiesistoxicityandresistanceandovercomingthesehasproventobelargelydifficult.Recentdevelopmentsinunderstanding,technologyandapplicationsofpeptidesasmodulatorsofprotein-proteininteractions,combiningcomputationalandexperimentalmethodshasbeguntoopennewwindowsintotacklingthisproblemandprovidecauseforcautiousoptimism.
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ISQBPPresident’smeeting2016–19-22June
T21:OverviewoftheClassicalDrudeOscillatorPolarizableForceFieldforBiomolecules.
A.D.MacKerellJr.*[1]
[1]DepartmentofPharmaceuticalSciences,SchoolofPharmacy,UniversityofMaryland,Baltimore,USA
Explicittreatmentofelectronicpolarizabilityinempiricalforcefieldsoffersthepotentialtosignificantlyimprovetheaccuracyofmolecularsimulationsofmacromoleculesincondensedphases.TowardsachievingthiswehavedevelopedapolarizableforcefieldbasedontheclassicalDrudeoscillatormodel.Importantlythemodeliscomputationallyaccessibleallowingformicrosecondsimulationsofmacromoleculesaswellastheapplicationofenhancedsamplingandfreeenergyperturbationmethodologies.ImprovementsinthemodelovertheadditiveCHARMM36forcefieldonthetreatmentofthecooperativityofhelixformationofthe(AAQAA)3peptide,onbaseflippinginDNAandontheinteractionsofionswithDNAindicatestheutilityofexplicittreatmentofelectronicpolarizabilityinaforcefield.Anoverviewofthemodelwillbepresentedalongwithongoingdevelopmentsintheforcefieldincludingintheareasofnucleicacids,proteinsandcarbohydrates.
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ISQBPPresident’smeeting2016–19-22June
T22:High-throughput,freeenergybasedliganddiscoveryandoptimizationusingmulti-siteλ-dynamics
C.L.BrooksIII*[1,2]
[1]DepartmentofChemistry,UniversityofMichigan,USA
[2]DepartmentofBiophysics,UniversityofMichigan,USA
Evaluatingprotein-ligandbindingaffinitiesisacentralproblemincomputationalstatisticalmechanicsofbiologicalmolecules.Whilefreeenergysimulationsarewellestablished,theyarealsohighlycomputationallyintensive,andlimittherangeandscopeofsystemsthatcanbestudied.OverthepastdecadewehavedevelopedanextendedLagrangianapproachtofreeenergysimulationscalledλ-dynamics,andmorerecentlyamulti-siteversionwetermmulti-siteλ-dynamics.Inthisrigorousstatisticalmechanicalframeworkthesystemofinterest“evolves”dynamicallyinthespaceofchemicalsubstituentsofinterestandthussignificantlyenhancestheefficiencyofthesearchproblemandconvergenceoftheoverallfreeenergycalculations.Moreover,withinthisformalism,weintroducebiasesthatrepresentthesolvationcomponentoftherelevantthermodynamiccycle,andtherebydirectlysimulateligandbindingcompetitionexperiments,fromwhichwedirectlyevaluaterelativebindingaffinityforlargefamiliesofligands.IwilldescribetheextendedLagrangianmethodologyandillustrateitinthecontextoflarge-scaleligandscreeningcalculations.Generalizationstopermitbothsequence-basedresistantmutationsandligandaffinitieswillbedescribed.
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ISQBPPresident’smeeting2016–19-22June
T23:HybridParticle-FieldApproachwithElectrostaticsforMesoscaleBiomolecularSimulations
HimaB.Kolli*[1],SigbjørnL.Bore[1],AntonioDeNicola[2],GiuseppeMilano[2],MicheleCascella[1]
[1]DepartmentofChemistryandCentreforTheoreticalandComputationalChemistry(CTCC),UniversityofOslo,P.O.Box1033,Blindern,0315Oslo,Norway
[2]DipartimentodiChimica,UniversitàdiSalerno,viaPontedonMelilloFiscianoSalernoI-84084,Italy
Recentdevelopmentsonhybridparticle-fieldapproachwhereMolecularDynamicsiscombinedwithSelfConsistentFieldtheory(MD-SCF)[1]haveproventobeefficientinexploringlargespatialandtemporalscalesforsystemsinthecondensedphaseatmolecularresolution.Unliketypicalcoarsegrain(CG)Hamiltonians,whicharebasedonpairwiseinteractionpotentials,MD-SCFcomputestheenergyofthesystemofinterestasafunctionaloftheparticledensity.Implementationofgridcomputationmethodsallowsquasi-linearscalingandminimaluseofnode-communication,makingMD-SCFsimulationsintrinsicallyfasterthanparticle-basedconventionalapproaches[2].
TheextensionoftheMD-SCFmethodwithexplicittreatmentofelectrostaticinteractionshasbeenintroducedveryrecently[3].Likeindensityfield,thechargedmoleculesareinteractingwiththeexternalchargefieldthatdependsonthedistributionofchargedensities.ThismethodhasbeensuccessfullyimplementedinbothserialandparallelversionsoftheOCCAMcode[4].Thisapproachiscurrentlybeingextendedtothefieldtreatmentofelectrostaticmultipoledensities.Theaccuracyofthemethodistestedforasetofprototypicpolyelectrolytemultiphasesystems,monitoringbothbulkandinterfaceproperties.AnadvantageforbiomolecularsystemsistheintegrationofMD-SCFapproachestoCGmodelsforbiopolymerswhereelectrostaticfeaturesaremappedbytopologicalmultipolarreconstruction[5].Thisproposedapproachisgeneralandcanbeusedtosimulatediversecomplexmultiphasesystems(i.e.polymers,membranes,proteins,nucleicacids)beyondthetime-andlength-scalesaffordabletoday.
[1]G.MilanoandT.Kawakatsu,JChemPhys,130,214106(2009).
[2]A.DeNicolaetal.,JChemTheoryComput,10,5651(2014).
[3]You-LiangZhuetal.,(submitted)
[4]http://www.smms.unisa.it/occam
[5]M.Cascellaetal.,JChemTheoryComput,4,1378(2008);D.Alemanietal.,JChemTheoryComput,6,315(2010).
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ISQBPPresident’smeeting2016–19-22June
T24:MolecularIntegrationSimulationToolkit-interfacingnovelintegratorswithMolecularDynamicscodes.
I.Bethune*[1],E.Breitmoser[1],B.J.Leimkuhler[2]
[1]EPCC,TheUniversityofEdinburgh,UK
[2]MaxwellInstituteforMathematicalSciencesandSchoolofMathematics,TheUniversityofEdinburgh,UK
ModernproductionMolecularDynamicscodesrepresentasignificantinvestmentofeffortbythecommunitytodevelophighlyoptimisedforceevaluationroutinesabletotakeadvantageofstate-of-thearthardwaresuchasGPUsandmulti-coreCPUs.However,thiscomesatacostofcodecomplexitywhichmakesithardfornewintegrationalgorithmstobeimplementedinthesepackages.Thiscreatesacatch-22foralgorithmdevelopement-ifnewalgorithmscannotbeimplementedandtestedinproductioncodesitmaybeimpossibletodemonstratetheirbenefitsoverexistingschemes;conversely,ifthecommunitycannotseethebenefitofnewalgorithms,codedeveloperswillnotspenttimeimplementingthem!
TheMolecularIntegrationSimulationToolkit(MIST)libraryisasolutiontothisproblembyprovidingplug-instoexistingoptimisedMDcodes,coupledwithasimpleinterfaceforthedevelopmentofnewintegrationmethods.MISTcurrentlyprovidesinterfacestoGROMACS,AmberandNAMD-Lite,allowingittobenefitfromOpenMPandGPUaccelerationforforce-evaluation.Severalstandard(Verlet,Leapfrog)andnew(LangevinDynamicsbasedonaBAOABsplitting)integratorshavebeenimplementedtodate.TheMISTlibraryinterfaceresultsinsignificantease-of-development,atnegligiblelossofperformance.Newintegrationalgorithmsareimplementedonce,inacode-agnosticmanner,andcanthenbeimmediatelydeployedinalltheMDcodessupportedbyMIST.
Aswellasalgorithmsforsamplingthecanonicalandmicro-canonicalensembles,MISTisalsoaplatformforbuildingmoreadvancedschemes.Forexample,wehaveimplementedanextended-systemmethodfor'ContinuousTempering',whichenablescomputationoffreeenergymapsinsystemswithlargeenergybarriers.
SeveralnewfeaturesareunderdevelopmentinMIST-newconstraintsolversforextremelylongtimestepsandmulti-timestepsplittings,MPIparallelisation,andsupportformoreMDcodes.Wewelcomethecommunity'sinputondirectionforfuturedevelopment.
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ISQBPPresident’smeeting2016–19-22June
T25:ComputationalProteinDesignwithanMMGBSAEnergyFunction
T.Gaillard*[1],N.Panel[1],D.Mignon[1],T.Simonson[1]
[1]LaboratoiredeBiochimie,EcolePolytechnique,Palaiseau,France
Proteindesignaimsatconceivingnewproteinsormodifyingexistingonestoobtainagivenfunction.Computationalapproachesareavaluablehelpforproteindesign,torationalizethepredictionsandguidetheexperimentaltests.Computationalproteindesign(CPD)hassparkedimportantmethodologicaleffortsandobtainedspectacularsuccessessuchasthecreationofaproteinwithanewfoldorenzymeactivesiteengineering.ThemaindifficultyofCPDliesintheastronomicalnumberofpossiblesequencesandconformations,oftheorderof(20x10)^100foraproteinwith100aminoacids.AnotherkeyelementforCPDsuccessistheenergyfunctionusedtoevaluateandselectthesequencesandconformations.
OurapproachofCPDisbasedonanatomicmodeloftheproteinstructureandamolecularmechanicsenergyfunction.Animportantaspectisthesolventtreatment,representedasadielectriccontinuumwithaGeneralized-Bornterm,supplementedbyatermproportionaltothesolventaccessiblesurfacearea.Thekeyelementsofourimplementationare:1)theproteinbackboneismaintainedfixed,2)theside-chainconformationalspaceisreducedtoadiscretelibraryofrotamers,3)theenergyfunctionisdecomposedintointeractionpairs.Thefirststepconsistsincalculatingamatrixofinteractionsbetweeneachpairofrotamers.Inthenextstep,thesequence-conformationspaceisexploredwithanoptimizationalgorithm.Energyevaluationsinthissecondsteparefastthankstothepre-calculationoftheenergymatrix.TheimplementationofourCPDprocedurewillfirstbediscussed.Then,applicationstothepredictionofside-chainconformationsandtothedesignofproteinsequenceswillbepresented.
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ISQBPPresident’smeeting2016–19-22June
T26:DevelopmentandaccelerationofmultiscaleQM/MMmethodsforsimulationsofcomplexbiomolecularsystems
P.Ojeda-May[1],K.Nam*[1]
[1]DepartmentofChemistry,UmeåUniversity,Sweden
Thequantummechanicalandmolecularmechanical(QM/MM)methodshavebeenanimportanttoolintheoreticalstudiesofenzymaticreactionsinsolvatedenvironments.However,becauseofcomplexityofunderlyingQMalgorithms,developmentofefficientandparallelQM/MMmethodshaslaggedbehindthedevelopmentofparallelMMsimulationalgorithms.ThisresultedinthelengthoftypicalQM/MMmoleculardynamics(MD)simulationstobeafewhundredsofpicosecondsorless,whichisrelativelytooshortforaccuratedeterminationoffreeenergiesandreactionrates.Thisalsolimitedseverelytheiruseinperforminglong-timeMDsimulations,utilizinghighperformancesupercomputersbasedonmulti-coreCPUarchitectures.ToenablelongtimescaleQM/MMmoleculardynamicssimulations,mylabhasbeendevelopingnovelmultiscaleQM/MMmethodsthatareequippedwithefficientandscalableQM/MMmethodsandintegratedwithadvancedfreeenergysimulationmethods,suchasthestringmethod.ThedevelopedmethodsincludethestableandparallelsemiempiricalQM/MMmethods,whicharebasedonMPIandhybridOpenMP/MPIparallelizationsandrobustSCFconvergenceaccelerators,andtheQM/MM-PMEmethodforefficientdeterminationoflong-rangeQM-MMelectrostaticinteractionsunderperiodicboundaryconditions.Further,thesemethodsarecombinedwithabinitio/DFTQM/MMmethodsandmultipletimestepalgorithmforenhancedaccuracyandefficiencyoftheAI-QM/MMpotentials.Withthesemethods,weareabletoachieveaboutoneorderofspeed-uprelativetothespeedofconventionalQM/MMmethods.Inthispresentation,thecurrentstatusofeachmethodispresented,andtheirapplicationtoproteinkinasesystemsisbrieflydiscussed,togetherwithfuturedirectiontoimprovetheirefficiency.
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ISQBPPresident’smeeting2016–19-22June
T27:AluminumandBioligandinteractionswithphosphatecontaininggroups.
XabierLopez*[1].RafaelGrande-Aztatzi[1],JonIMujika[1],ElenaFormoso[1]
[1]KimikaFakultatea,EuskalHerrikoUnibertsitateaUPV/EHU,andDonostiaInternationalPhysicsCenter(DIPC),P.K.1072,20080Donostia,Euskadi,Spain.
Theincreasedavailabilityofaluminuminbiologicalenvironments,duetohumaninterventioninthelastcentury,raisesconcernsontheeffectsthatthissofar"excludedfrombiology"metalmighthaveonlivingorganisms.Consequently,thebioinorganicchemistryofaluminumhasemergedasaveryactivefieldofresearch.However,theexperimentaldeterminationofstructureandaffinitiesofAluminum-Bioligandcomplexesisnotwithoutdifficultiesandtheoreticalmethodshaveemergedasafundamentaltooltounveilaluminumbiochemistry.InthepresenttalkIwillreviewsomeoftherecentadvancesmadebyourgrouponthisfield.InparticularwewillfocusonAluminuminteractionswithphosphate-containingbiomoleculesusingavarietyofmethods,DFT,QM/MMandclassicalmoleculardynamicsimulations.
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ISQBPPresident’smeeting2016–19-22June
T28:Structuraldynamicsandsignallingmechanismsinnuclearretinoidreceptors
Y.Chebaro,J.Eberhardt,I.Amal,R.H.Stote,A.Dejaegere*[1]
[1]EcoleSuperieuredeBiotechnologiedeStrasbourg-ESBS,France
NuclearRetinoicAcidreceptors(RARs)areligand-dependenttranscriptionalregulatorsthatformheterodimerswithRetinoidXreceptors(RXRs).Theymediatetheeffectsofretinoicacid(RA),theactivemetaboliteofVitaminA,andregulateessentialphysiologicalprocessessuchasembryonicdevelopment,organogenesis,homeostasis,vision,immunefunctionsandreproduction.TheregulationofRARsoccursthroughthebindingofretinoicacid(RA)totheligandbindingdomain(LBD),whichtriggersconformationalchangesinthereceptorthatleadtotheformationofinterfacesforthebindingofco-activatorproteins.Asidefromthisclassicalmechanismofligand-triggerednuclearreceptoractivation,recentstudiesshowedthatRARsandRXRsarecomplexallostericmodulatorsandthattheiractivitycanbefine-tunedbydifferentpost-translationalmodifications,inparticular,byphosphorylation.
StructuralinformationconcerningthemolecularmechanismunderlyingRAR’sresponsetoRAhasbeencollectedlargelybystudiesoftheLBD.AlthoughstructuralsnapshotsofessentialstructuresalongtheregulationpathwayofNRshavebeenobtainedlargelybycrystallographicstudiesoftheLBD,regulationisalsolinkedtochangesinthereceptordynamics,aswellastosubtlechangesinconformerpopulations.Thecharacterizationofthesestructuraldynamicaleffectsiscrucialtoourunderstandingoftheallostericmechanismsoccurringinthesereceptors.
Hereweusemoleculardynamicssimulationstostudythechangesinreceptorstructureanddynamicsthatoccuruponphosphorylationandhowthesechangesmayaffectthebindingaffinityfordifferentco-regulatoryproteins.Inparticular,westudiedtwophosphorylationeventsthatoccurinRARasaconsequenceoftheactionofRA.ThefirstconcernsthephosphorylationoftheRARLBDandthesecondthatofthereceptor’sN-terminaldomain(NTD).Themoleculardetailsaffordedbythesesimulationsallowustonotonlyunderstandthestructuralchangesthatoccuruponphosphorylationandhowthesechangesmayaffectthebindingaffinityfordifferentco-regulatoryproteins,butalsotounderstandallostericcommunicationrelatedtophosphorylationofnuclearreceptorsandtoidentifykeyresiduesinvolvedinthisprocess.
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ISQBPPresident’smeeting2016–19-22June
T29:AnunusualallostericmechanismforregulatingproteininteractionsofSyktyrosinekinase
D.P.Hua[1],A.Roy[1],C.Feng[1],C.B.Post*[1]
[1]DepartmentofMedicinalChemistryandMolecularPharmacology,MarkeyCenterforStructuralBiology,PurdueUniversity,WestLafayette,Indiana,USA
ThephosphorylationofalinkerregionbetweentwotandemSH2domainsofSyktyrosinekinaseregulatesthebindingaffinityforSykassociationwithmembranereceptors;affinityforreceptormediatedbytheSykSH2domainsdecreases100-folduponphosphorylationoftheremotetyrosinesiteonlinkerA.Themechanismofthisallostericregulationhasbeensuggestedtobeaswitchfromahighaffinitybifunctionalbinding,mediatedthroughbothSH2domainsbindingtwophosphotyrosineresidues,toasubstantiallyloweraffinitybindingofonlyoneSH2domain.Nonetheless,thispostulatedswitchtoasingle-SH2-domainbindingmodewasrefutedbyNMRexperiments.Withtheresidue-levelpowerofNMR,wedeterminedthatphosphorylationaffectsanisomerizationstepofbifunctionalbinding.MoleculardynamicssimulationswereexploitedtoexploretheconformationaleffectsassociatedwithlinkerAphosphorylationandthusgainphysicalinsightintotheisomerizationprocess.Theresultswereindeedilluminating.ThedomainstructureofthetandemSH2domainsisstronglyperturbedbyphosphorylation.Moreover,numerouselectrostaticinteractionsbetweendomains,previouslyunknowntobeinvolvedinregulation,areperturbeduponphosphorylationandpredictedtobethebasisforregulation.
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ISQBPPresident’smeeting2016–19-22June
T30:UnderstandingChargeTransferinCryptochromesandPhotolyasesviaQM/MMSimulations:ApplicationtoPhrBProtein
D.Holub[1],N.Gillet[1]*,G.Lüdemann[1],M.Elstner[1]
[1]TheoreticalChemicalBiologyKarlsruheInstituteofTechnology(KIT)InstituteofPhysicalChemistry,Germany
CryptochromeandPhotolyaserepresentaubiquitousfamilyofflavoproteinphotoreceptors.Whiletheformerisinvolvedinplantgrowth,animalcircadianrythmorperceptionoftheEarth’smagneticfield,thelatterparticipatestoDNArepairbyoxidizingCPD(cyclobutanepyrimidinedimers)or6-4photoproducts.AfterexcitationofaFAD(flavinadeninedinucleotide)cofactor,anelectrontransfer(ET)occursbetweentheproteinsurfaceandtheflavinthroughachainofseveralaromaticresidues.AwidelyconservedtryptophantriadhasbeenidentifiedbuttyrosineorafourthresiduecanbesometimesinvolvedintheET.
Recently,manyQM/MMsimulationswereperformedtounderstandthemechanismofthislongrangeelectrontransfer.Acommonissueconsistsofthelocalizationoftheelectronalongthepathwayandthedefinitionofthedifferentredoxstates.CailliezetalproposeprotocolsbasedonclassicalMDscoupledtoconstrainedDFTcalculations.Inourgroup,wefollowanotherstrategybasedontheelectronicpropagationbetweenthedifferentmolecules,efficientforthefastETsobservedintheseproteins.BothstrategiesprovideelegantconclusionsandhighlightthemechanismnatureoftheET,theroleofdifferentresidues,theexistenceofalternativepathwaysortheimportanceofthesolvent.
Wecurrentlyfocusonaprokaryotic(6-4)photolyase,thePhrBprotein.ItpresentssomeparticularitiessuchasaFe-Sclusteroratyrosineasthefirstresidueofthetriad.DirectedmutagenesisexperimentshaveshownthatmutationofthistyrosinetophenylalaninedoesnotaffectflavinreductionwhilemutationsofothersresiduesfromthetriadornotmodifytheETandtheDNArepairactivity.WestudiedthissystemusingacouplingbetweenlongclassicalandshortelectronicsimulationsatDFTBlevel.Ourresultsgiveamolecularinsightoftheeffectsofthesedifferentmutations.
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ISQBPPresident’smeeting2016–19-22June
T31:NorovirusCapsidAssembly
ThibaultTubiana*[1],AnnaD.Koromyslova[2,3]GrantSHansman[2,3],YvesBoulard[1],StéphaneBressanelli[1]
[1]Interactionsandassemblymechanismsofproteinsandpeptides,B3S,I2BC,UMR9198
[2]SchallerResearchGroupattheUniversityofHeidelbergandtheDKFZ,Germany,Heidelberg69120
[3]DepartmentofInfectiousDiseases,Virology,UniversityofHeidelberg,Germany,Heidelberg69120
Norovirusesaresmallnon-envelopedviruseswithsingle-strandedpositivesenseRNA.Theyaretheleadingcauseofacuteviralgastroenteritisinhumansandanimalsandareofworldsignificanceforhealth.TheCapsidiscomposedof180copiesofasinglestructuralproteinVP1consistsoftwomaindomains:theshelldomain(S)andtheprotrudingdomain(P)whichcontainstwosubdomains(P1andP2).ThePdomainisthepartexposedtothebiologicalenvironment,itallowsinparticulartostabilizeandadjustthesizeofthecapsid.TheSdomainis,meanwhile,theassemblymoduleofviralcapsid.
OurlabandothershaveshownexperimentallythatNoroviruscapsidscanbedisassembledandreassembledinvitroaccordingtothepHofthemedium(highpH=disassembled,lowpH=reassembled).TheassemblyprocessbeginswithVP1dimerswhichquicklyproduceintermediatesof10~11dimerswhichthenslowlyassemblethemselvestocapsids.
Usingcomputationalapproachessuchashomologymodelling,simulatedannealing,moleculardynamicssimulationsinallatomandcoarsegrainsystems,wearelookingtoextendtheseskineticstudiesonhumannorovirusandthustodeterminethemolecularbasisofnoroviruscapsidassembly.
Ourfirstresultsextendpreviousstudiesalreadyachievedintheteam.ThesesresultsshowthatthedeprotonatedformoftheN-terminalarmestablishesmanysaltbridgesandallowitsstabilizationontheSdomain.OurnewSAXSexperimentsshowthatathighpHthedimerisinaquiteextendedformandverydifferentfromthecrystallographicstructure.ThankstomodelisationandmoleculardynamicstoolswehavedevelopedamodelthatfitstheexperimentalSAXSdata.OurresultsindicatethatpHandprotonationstatehaveamajorroleinthefirststepofassembly:Dimertointermediate.
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ISQBPPresident’smeeting2016–19-22June
Posters
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P1:’Magicshotgun’forbacterialtoxins:aninversedockingstudyformulti-targetdrugdiscovery
P.Saenz-Méndez*[1,2],M.Eriksson[1],L.A.Eriksson[1]
[1]DepartmentofChemistryandMolecularBiology,UniversityofGothenburg,Sweden
[2]ComputationalChemistryandBiologyGroup,FacultaddeQuímica,UniversidaddelaRepública,Montevideo,Uruguay
Antimicrobialresistanceisagrowingpublichealththreat,assomepathogenshavebecomeresistanttomultipletypesofantibiotics.Therefore,thecurrentchallengeofantimicrobialdrugresearchistheidentificationofnoveldrugtargets,avoidingthedevelopmentofresistance.Pseudomonasaeruginosaisawell-knownopportunisticpathogenresponsibleformillionsofdeathperyear.ExotoxinA(ETA)isthemostpotenttoxinproducedbyP.aeruginosa,catalyzingthetransferofanADP-ribosemoietytotheeukaryoticelongationfactor2(eEF2)incellsoftheinfectedtissue.Thismodificationleadstoadysfunctioninthehostproteinsynthesiswitheventualcelldeath.TargetingP.aeruginosaETAwithsmallmoleculeinhibitorswillinterferewiththepathogen’svirulence.Asthepathogenisnotdirectlyattacked,thedefensemachinerywillnotbetriggered,andhencethemicroorganismwillunlikelydevelopdrugresistance.ETAsharescommonfeatureswithothertoxins,suchasdiphtheriatoxin(DT,fromCorynebacteriumdiphtheriae)andcholixtoxin(CT,fromVibriocholera).ThesecloselyrelatedtoxinsinspiredtheideaofdevelopingnewpotentialantibioticstargetingmainlyETA,butdisplayingadditionalactivityagainstDTandCT.Theexistenceofreceptorsforbindingmoleculesevolvesintothe‘magicbullet’concept,i.e.drugsthatgodirectlytotheirpredeterminedbiologicaltarget.However,thisone-compound-one-targetisasimplificationofreality,beingtheone-compound-multiple-targetsmodelmoreaccurate.Thisisthe‘magicshotgun’orthe‘silverbullet’concept.Tofindthat‘magicshotgun’abletotargetseveralreceptorswithoneload,inversedockingemergesastheinsilicoprototypicaltechniquetoaccomplishthatgoal.Inthiswork,wefirstselectedasetofpotentialinhibitorsofETAperformingVirtualHigh-ThroughputScreening(VHTS),andthenperformedforthefirsttimeaninversedockingstudyagainstallthreetoxinsinordertofindamulti-toxininhibitor.
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P2:Thestructureandthethermodynamicsofwateratthebindingsiteofgalectin-3withtwodiastereomersofdifferentbindingaffinities
MajdaMisiniIgnjatovic*[1],MariaLuisaVerteramo[1],FrancescoManzoni[1],OlofStenström[1],OctavCaldararu[1],MartinOlsson[1],HakonLeffler[2],UlfRyde[1],DerekLogan[1],MikaelAkke[1],andUlfJ.Nilsson[1]
[1]DepartmentofChemistry,LundUniversity,Sweden
[2]DepartmentofLaboratoryMedicine,LundUniversity,Sweden
Watermoleculescontributetoprotein–ligandbindingintwoways.First,asamedium:Waterprovideadrivingforceforthebinding,owingtothethermodynamicsofwatermoleculesdisplacedfromtheproteincavityuponligandbinding.Second,individualwatermoleculesthatstayburiedatthebindinginterfacecanformhydrogenbondswiththeproteinandtheligand,whichpromotesthestabilityoftheprotein–ligandcomplex[1].Sincethesewatermoleculesaretightlyboundandhighlyordered,theirdisplacementcanresultinhigherbindingaffinities,becauseofthegaininthetotalentropyofthesystem.
Moleculardynamicssimulationswithexplicitwatermoleculeshavebeenusedinordertostudytheroleofenthalpy,entropyandfreeenergyoftheseindividualwatermoleculesinligandbinding.WeuseGridInhomogeneousSolvationTheory[2]tostudythethermodynamicsofthesolventattheactivesiteoftheproteingalectin-3,bindingtotwodiastereomerswithdifferentexperimentalbindingaffinities.Thecalculationshelptoexplainthedifferencesinbindingaffinitiesintermsofsolvationenthalpyandsolvationentropy.Moreover,theinformationcanbeusedtofacilitateliganddesign,sincegalectin-3isaninterestingtherapeutictarget[3].
Theresultsshowmorefavorablehydrationfreeenergyofthebindingsitefortheligandwithbetterbindingaffinity.Thedifferenceof12kcal/molcomesmainlyfromthechangeinthesolvationenthalpyofthebindingsiteforthetwoligands.Weobservethatdifferentinteractionsdominatethehydrationofthetwobindingsites,andthatthecorrespondingwatermoleculeshaveadifferentmobility.
[1]Poornima,C.S.andDean,P.M.,JournalofComputer-AidedMolecularDesign9,500(1995).
[2]Nguyenetal.,JournalofChemicalPhysics137,4(2012).
[3]Yangetal.,ExpertReviewsinMolecularMedicine10,e17(2008).
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P3:Frominsilicoscreeningtoinvivoactivity:designofaselectiveinhibitorofAurorakinases
JC.Carry[1],F.Clerc[1],H.Minoux*[2],L.Schio[1],J.Mauger[6],A.Nair[6],E.Parmantier[1],R.LeMoigne[1],C.Delorme[1],JP.Nicolas[1],A.Krick[3],PY.Abécassis[3],V.Crocq-Stuerga[4],S.Pouzieux[2],L.Delarbre[2],S.Maignan[2],T.Bertrand[2],K.Bjergarde[6],N.Ma[6],S.Lachaud[1],H.Guizani[1],R.Lebel[1],G.Doerflinger[1],S.Monget[1],S.Perron[1],F.Gasse[1],O.Angouillant-Boniface[5],B.Filoche-Rommé[1],M.Murer[5],S.Gontier[5],C.Prévost[5],ML.Monteiro[5],C.Combeau[1]
[1]OncologyDrugDiscovery,Sanofi,13quaiJulesGuesde,94403Vitry-sur-Seine,France.
[2]StructureDesignInformatics,Sanofi,13quaiJulesGuesde,94403Vitry-sur-Seine,France.
[3]DispositionSafetyAnimalResearch,Sanofi,13quaiJulesGuesde,94403Vitry-sur-Seine,France.
[4]ChemicalDevelopment,Sanofi,13quaiJulesGuesde,94403Vitry-sur-Seine,France.
[5]AnalyticalSciences,Sanofi,13quaiJulesGuesde,94403Vitry-sur-Seine,France.
[6]CombinatorialTechnoCenter,Sanofi,2090EastInnovationParkDr.,OroValley,AZ85755-1965,USA
TheAuroraproteinfamily(AuroraA,BandC)belongstotheserine/threoninekinases.Theyplayakeyroleincelldivision.Theyarealsoaberrantlyexpressedinavarietyofsolidandliquidtumors,whichmakesthemattractivetargetsfornewcancertherapies.
WereportherethediscoveryofanovelclassofAurorakinasesinhibitors.Startingfromavirtualscreeningcombiningapharmacophoricapproachandhighthroughputdockinginto4differentconformationsofAuroraA,3500compoundswereselectedandtestedinanAuroraAbiochemicalassayforenzymaticactivityinhibition.Fivechemicalserieswereidentifiedand1,2,4,6,7,8-hexahydro-5H-Pyrazolo[3,4b][1,7]naphthyridin-5-onesrapidlyemergedonthebasisofselectivitydata.
UsingX-raystructureofcompound1incomplexwithAurora2,chemicalmodificationsledasignificantimprovementofAuroraAinhibitionfromanIC50of9800nMforcompound1toandIC50of4nMforcompound2.Compound2wasfoundexclusivelyselectiveforAurorainapanelof64kinasesbutalsoexhibitedasignificantinhibitionofphosphodiesterase3(PDE3)withanIC50of270nM.
ToimproveselectivityofthechemicalseriesversusPDE3,structure-baseddrugdesignwasappliedusingbothX-raystructuresandadockingmodel.
Wehaveeventuallyidentifiedcompound3whichcombinedhighpotencyonallthreeisoformsofAurora(i.e.IC50=0.6nM(AuroraA);1nM(AuroraB/Incenp);3nM(AuroraC/Incenp))withanoutstandingselectivityprofileagainstapanelofover110kinasestested.Rationalofthisexquisiteselectivitywillbediscussed,basedonstructuralinformationavailableforthiscompound.
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ISQBPPresident’smeeting2016–19-22June
Finally,invivoefficacyonrelevanttumormodelshasbeendemonstratedforcompound3.
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P4:TowardsDynamicPharmacophoreModelsbyCG-MDSimulations
NicholasMichelarakis*[1],ZaraSands[2],MarkS.P.Sansom[1],&PhillipJ.Stansfeld[1]
[1]DepartmantofBiochemistry,UniversityofOxford,SouthParksRoad,Oxford,OX13QU,UnitedKingdom
[2]UCBPharmaS.A.,CheminduForiest,B-1420Braine-l'Alleud,Belgium
Pharmacophoremodelsplayakeyroleincomputer-aideddrugdiscovery,playinganimportantroleine.g.virtualscreeningofchemicaldatabases,denovodrugdesign,andleadoptimization.Structure-basedmethodsfordevelopingpharmacophoremodelsareofespecialimportance,andtherehavebeenanumberofstudiescombiningsuchmethodswiththeuseofmoleculardynamics(MD)simulationstomodelproteinflexibility.Atthesametimetherehavebeenongoingdevelopmentsinmulti-scalesimulations,combiningatomisticandcoarsegrainedMDsimulationsinasequentialfashion,toexploretheinteractionsofproteinswithmembranesandtheirlipids[1,2]andwithoneanother[2].HerewedescribetheuseofCG-MDsimulationstoexploretheinteractionsofCG-particleprobeswithproteins,combinedwithatomisticMDsimulationstomodeltheconformationaldynamicsoftargetproteins.Usingcyclindependentkinase2(CDK2)asatestcase,wedemonstratethepotentialutilityofthisapproachforidentificationofligandbindingsites,andaspartofanoverallprocessofstructure-baseddevelopmentofpharmacophoremodels.
[1]Stansfeld,P.J.&Sansom,M.S.P.(2011)Fromcoarse-grainedtoatomistic:aserialmulti-scaleapproachtomembraneproteinsimulations.J.Chem.Theor.Comp.7:1157-1166
[2]Hall,B.A.&Sansom,M.S.P.(2009)Coarse-grainedMDsimulationsandprotein-proteininteractions:thecohesin-dockerinsystem.J.Chem.Theor.Comput.5:2465–2471
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P5:MolecularlevelcharacterizationofconformationalchangesinducedbydiarylideneketoneinhibitorsintoTrypanosomacruzitriosephosphateisomerasethroughmoleculardynamicssimulations
L.Minini[1,2],E.Aguilera[2],M.González[2],H.Cerecetto[3],G.Álvarez[4],A.Merlino*[1]
[1]DepartmentofTheoreticalandComputationalChemistry,FacultaddeCiencias,UniversidaddelaRepública,Uruguay
[2]DepartmentofMedicinalChemistry,FacultaddeCiencias,UniversidaddelaRepública,Uruguay
[3]DepartmentofRadiopharmacy,CentrodeInvestigacionesNucleares,UniversidaddelaRepública,Uruguay
[4]DepartmentofBioactiveMolecules,CentroUniversitarioRegionalLitoralNorte,UniversidaddelaRepública,Uruguay
Chagasdisease,causedbytheprotozoanparasiteTrypanosomacruzi,havebeenlargelyconsideredaneglectedinfection.Currently,6-7millionpeopleareestimatedtobeinfectedworldwide,mostlyinLatinAmericawherethediseaseisendemic.Inspiteoftheeffortsmadeinthelastyearstofindsafeandeffectivecompoundstotreatthisdiseasefewmoleculeshavearisenaspromisingdrugcandidates.Therefore,furtherprogressintheresearchanddevelopmentofnovelcompoundswiththepotentialtobecomeusabledrugsiscrucial.Inthiscontext,ourresearchgrouphasrecentlyreportedsomediarylideneketoneswhichprovedtobeactiveagainstT.cruziepimastigotes.Inparticular,threeofthesecompoundsresultverygoodandselectiveinhibitorsofT.cruzitriosephosphateisomerase(TcTIM),avalidatedtargetagainstthisparasite.However,themechanismofenzymeinhibitionhasnotyetbeenfullyelucidated.Inthiswork,weperformed100nsmoleculardynamicssimulationsofTcTIM-diarylideneketonecomplexesinordertocharacterizeatadetailedmolecularlevelthefundamentalinteractionsandeffectsofthesecompoundsinproteindynamicsandfunction.OurresultsshowedthatwhilemildinhibitorsresidelittletimeintotheirbindingsitethemostpotentinhibitorofTcTIM[(2E,6E)-2,6-Bis((E)-3-(furan-2-yl)allylidene)cyclohexanone]bindsclosetotheactivesiteoftheenzymeblockingsubstratebindingandinducingimportantconformationalchangesthataffecttheproperpositioningofprotein´sloopsthatareinvolvedincatalysis.Ourtheoreticalresultswereabletoexplaintheexperimentaldataandhaveprovideduswithusefulinformationforfutureprospectsonrationaldrugdesign.
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P6:Insilicodesign,DNAinteraction,synthesisandbiologicalevaluationofinhibitorsofhypoxia-induciblefactor(HIF-1)asantitumoragents.
L.Minini[1],AMerlino[1],M.DeNegri[2],M.L.Lavaggi*[2]
[1]LaboratoriodeQuímicaTeóricayComputacional,FacultaddeCiencias,UniversidaddelaRepública.
[2]LaboratoriodeQuímicaBiológicaAmbiental,CentroUniversitariodeRivera,UniversidaddelaRepública.
Solidtumorscontainhypoxicregions,whichconfersresistancetoradiationandchemotherapy,butinturnoffersanattractivedifferencebetweennormalandtumorcellsthatcanbeexploitedtoobtainselectivedrugsdirectedtospecifictargetsonhypoxiccells.Hypoxiainduceschangesingeneexpressionprofilethroughtheinductionofatranscriptionalfactorcalledhypoxia-induciblefactor,HIF-1.Thisproteinactivatesthetranscriptionofgenesrelatedtocellsurvival.Aninterestingstrategyforthedevelopmentofantitumoragentsistheuseofprodrugs,whichafterselectivebioreductionunderhypoxicconditions,interactwithDNAaffectingthebindingsiteofHIF-1.
Inthisworkwehavedesignedderivativesofamino-phenazine5,10-dioxidesincludinglateralgroupswiththepotentialabilitytoactasDNAinteractiveagentsthatcouldbindselectivelytothe5'-ATACGTG-3´andtherebypreventinteractionwithHIF-1.Todeterminethepossibleinteractionmode,moleculardockingcalculationsandmoleculardynamicssimulationswerecarriedout.SomeofthederivativesproposedinteractwiththeregionofinterestandalsointercalateintoDNAwithgoodaffinity.Synthesisofthosecompoundsthatshowedanadequatedegreeofaffinitywiththeintendedtargethasbeenperformed.ResultsshowdifferentmodesofDNAbindingofthecompounds,furtherbiologicalstudieswillbeperformedtoachievemoreresultsconfirmingthedifferentmodesofaction.
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ISQBPPresident’smeeting2016–19-22June
Topic:Drugdesign
P7:SHSF:AnewandimprovedscoringfunctionforAutoDockVinaaddressingsigmaholeinteractions
M.Koebel*[1],G.Schmadeke[1],S.Sirimulla[1]
[1]DepartmentofBasicScience,St.LouisCollegeofPharmacy,UnitedStates
Unconventionalnon-covalentinteractionsaregainingincreasedattentionindrugdesignresearchasoflately.Halogenbonds,whichutilizeasigmaholeforformation,arenowconsideredimportantnon-covalentinteractionsforuseinrationaldrugdesign.Sulfur,whichhasahighpresenceinligands,isalsoknowntoexhibitasigmahole.Mostofthecurrentdockingprogramshoweverdonotaccountforthesesigmaholeinteractions.Mostrecentlywehavedevelopedascoringfunction(XBSF)toaccountforhalogenbondinteractionsinprotein-ligandcomplexes.Inthiscurrentstudy,wepresentanewscoringfunctionthatalsoaccountsforavarietyofsigmaholeinteractionsincludingsulfur,andwetermeditas“SigmaHoleScoringFunction”orSHSF.ThebasisforthenewscoringfunctionanditsimplementationinAutoDockVinaarepresented.
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ISQBPPresident’smeeting2016–19-22June
Topic:Enzymecatalysis
P8:MoleculardynamicssimulationsofBiofluidLipases:understandingbiofluidenzymesstabilityforhyperthermophilicbiosynthesis
BiancaPérez*[1],RichardSessions[2],AndreaColetta[3],JulieGrouleff[3],FrankJensen[3],ZhengGuo[1],AdamPerriman[4],BirgitSchiøtt[3,5].
[1]DepartmentofEngineering,AarhusUniversity,Aarhus8000,Denmark;
[2]SchoolofBiochemistry,UniversityofBristol,BristolBS81TD,U.K;
[3]DepartmentofChemistry,AarhusUniversity,Aarhus8000,Denmark;
[4]SchoolofCellularandMolecularMedicine,UniversityofBristol,BristolBS81TD,U.K;
[5]InterdisciplinaryNanoscienceCenter,AarhusUniversity,Aarhus8000,Denmark.
Enzymecatalysishasopenednewdoorsforgreenprocessesbutitsextensiveapplicationhasbeenlimitedbythelowthermostabilityofenzymes.Arecentreportshowedthatsolvent-freebiofluidsoflipase-polymersurfactantnanoconjugatesretaincatalyticactivityatupto150°Cwithhalfdenaturationtemperaturesofaround170oC.Here,themesophileRhizomucormiehei(RML)andthethermophileThermomyceslanuginosus(TLL)coatedwithananionicpolymersurfactant,respectively,displayedactivityunderanhydrousconditionschallengingthetraditionalbeliefthatenzymesrequireawaterhydrationspheretobeactive.Nevertheless,furtherworkisneededtounderstandwhetherthesurfactantsmayimpedetheinteractionofthesubstratewiththecatalytictriadandifotherenzyme’smodificationscanbemadetooptimizecatalyticactivitytowardshydrolysisandesterificationathightemperatures.Basedontheabove,wepresentdatafrommoleculardynamicsimulationsstudiesofthesystemsinquestiontoevaluatethestabilityofthelipasebioconjugatesathightemperature.Theresultsprovideagatewaytoabetterunderstandingofthethermostabilityofthebiofluidenzymes,andmoreover,theyprovidenewinsideforthedesignofthenextgenerationoflipase-polymernanoconjugates.
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ISQBPPresident’smeeting2016–19-22June
Topic:Enzymecatalysis
P9:UnderstandingCatalysisintheHepatitisDeltaVirusRibozymeusingQM/MMStringSimulations
A.Ganguly*[1],P.Thaplyal[2],P.Bevilacqua[2],S.Hammes-Schiffer[3]
[1]Max-Planck-InstitutfuerKohlenforschung,Muelheim,Germany
[2]DepartmentofChemistry,PennsylvaniaStateUniversity,USA
[3]DepartmentofChemistry,UniversityofIllinoisatUrbana-Champaign,USA
Thehepatitisdeltavirus(HDV)ribozymeperformssite-specificcleavageinRNA.Thisribozymeusesacombinationofmetalionandnucleobasecatalysistoeffecttheself-cleavagereaction.Weperformedquantummechanical/molecularmechanical(QM/MM)stringsimulationstoinvestigatethemechanismofthecatalyticreaction.Ourresultsprovidekeyinsightsintothemachineryofribozymecatalysis.Inparticular,ourstudieselucidatetheroleofanactivesitemetalioningoverningthereactionpathway.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P10:MolecularIntegrationSimulationToolkit-interfacingnovelintegratorswithMolecularDynamicscodes.
I.Bethune*[1],E.Breitmoser[1],B.J.Leimkuhler[2]
[1]EPCC,TheUniversityofEdinburgh,UK
[2]MaxwellInstituteforMathematicalSciencesandSchoolofMathematics,TheUniversityofEdinburgh,UK
ModernproductionMolecularDynamicscodesrepresentasignificantinvestmentofeffortbythecommunitytodevelophighlyoptimisedforceevaluationroutinesabletotakeadvantageofstate-of-thearthardwaresuchasGPUsandmulti-coreCPUs.However,thiscomesatacostofcodecomplexitywhichmakesithardfornewintegrationalgorithmstobeimplementedinthesepackages.Thiscreatesacatch-22foralgorithmdevelopement-ifnewalgorithmscannotbeimplementedandtestedinproductioncodesitmaybeimpossibletodemonstratetheirbenefitsoverexistingschemes;conversely,ifthecommunitycannotseethebenefitofnewalgorithms,codedeveloperswillnotspenttimeimplementingthem!
TheMolecularIntegrationSimulationToolkit(MIST)libraryisasolutiontothisproblembyprovidingplug-instoexistingoptimisedMDcodes,coupledwithasimpleinterfaceforthedevelopmentofnewintegrationmethods.MISTcurrentlyprovidesinterfacestoGROMACS,AmberandNAMD-Lite,allowingittobenefitfromOpenMPandGPUaccelerationforforce-evaluation.Severalstandard(Verlet,Leapfrog)andnew(LangevinDynamicsbasedonaBAOABsplitting)integratorshavebeenimplementedtodate.TheMISTlibraryinterfaceresultsinsignificantease-of-development,atnegligiblelossofperformance.Newintegrationalgorithmsareimplementedonce,inacode-agnosticmanner,andcanthenbeimmediatelydeployedinalltheMDcodessupportedbyMIST.
Aswellasalgorithmsforsamplingthecanonicalandmicro-canonicalensembles,MISTisalsoaplatformforbuildingmoreadvancedschemes.Forexample,wehaveimplementedanextended-systemmethodfor'ContinuousTempering',whichenablescomputationoffreeenergymapsinsystemswithlargeenergybarriers.
SeveralnewfeaturesareunderdevelopmentinMIST-newconstraintsolversforextremelylongtimestepsandmulti-timestepsplittings,MPIparallelisation,andsupportformoreMDcodes.Wewelcomethecommunity'sinputondirectionforfuturedevelopment.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P11:Buildingadatabaseof3DbiologicalshapesfortheinterpretationofXFELdiffractionpatterns
S.P.Tiwari[1],F.Tama[1,2],O.Miyashita[1]
[1]RikenAdvancedInstituteforComputationalScience,Kobe,Japan
[2]DepartmentofPhysics,GraduateSchoolofScience,NagoyaUniversity,Nagoya,Japan
X-rayfreeelectronlaser(XFEL)scatteringexperimentshasbeendescribedasthefutureofstructuralbiology.Thetechniquehasseveraladvantages,includingitsabilitytoprobeasingleparticlesamplewithouttheneedforcrystallisation,andtoproducediffractiondatabeforethesampleisdestroyedbyradiation.However,resolvingstructuresfromXFELdiffractionpatternscanbechallengingduetothephaseproblem.Consideringthenoveltyofthetechnique,thereisalsolimiteddataavailabletoprovideinitialmodelsthatfitnewdiffractionpatterns.Therefore,weconsiderastrategytoprovideefficientinterpretationofXFELdatabysearchingthemagainstadatabaseofhypotheticalbiologicalshapestoobtainaninitialstructuralmodel.Tobuildadatabaseofbiologicalshapes,weassemblevariousthree-dimensional(3D)structuresinexistingstructuredatabanks,suchastheElectronMicroscopyDataBank(EMDB).Wecanthenreducetheassembleddatasettoaminimalyetdistinctsetofhypotheticalbiologicalshapes.Inthefirstpartofthisassembly,wepresenttheanalysisofsingleparticlecryo-electronmicroscopy(cryo-EM)structures.Here,weanalysethevariationintheshapesthatexistswithinthe3Dcryo-EMmaps,andwithintheirsimulatedtwo-dimensional(2D)projectionimages.Thisanalysisprovidesuswiththeextenttowhich2Dimagesoftwodistinct3Dshapescanbesimilar,givingusanideaoftheexpecteddegeneracywhenwecompareexperimentaldatatoahypotheticalbiologicalshape.Ingeneral,weexpectthatwithasufficientnumberof3DshapeswillallowustoprovidecandidatemodelsfornewXFELdataeffectively.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P12:ANovelThree-layerMultiscaleQM/MM/CGApproach
P.Sokkar*[1],E.Boulanger[2],W.Thiel[1],E.SanchezGarcia[1]
[1]DepartmentofTheoreticalChemistry,Max-Planck-InstitutfürKohlenforschung,MülheimanderRuhr,Germany.
[2]DepartmentofBiochemistryandMolecularBiophysics,UniversityofChicago,Chicago,UnitedStates
Wepresentanovelquantummechanics/molecularmechanics/coarse-grained(QM/MM/CG)multiresolutionapproachforsolvatedbiomolecularsystems.Inthisapproach,thechemicallyimportantregionistreatedattheQMlevel.ThebiomolecularenvironmentisdescribedbyanatomisticMMforcefield,andthesolventismodeledwiththeCGMartiniforcefieldusingstandardorpolarizable(pol-CG)waterdefinitions.InteractionswithintheQM,MM,andCGregions,andbetweentheQMandMMregions,aretreatedintheusualmanner,whereastheCG–MMandCG–QM(vdW)interactionsareevaluatedusingthevirtualsitesapproach.ThechargedMMandCGparticlesaretreatedasexternalpointchargesintheQMhamiltonian.Theaccuracyandefficiencyofourimplementationistestedfortwoenzymes,chorismatemutase(CM)andp-hydroxybenzoatehydroxylase(PHBH).InCM,theQM/MM/CGpotentialenergyscansalongthereactioncoordinateyieldreactionenergiesthataretoolarge,bothforthestandardandpolarizableMartiniCGwatermodels,whichcanbeattributedtoadverseeffectsofusinglargeCGwaterbeads.TheinclusionofanatomisticMMwaterlayer(10ÅforunchargedCGwaterand5ÅforpolarizableCGwater)aroundtheQMregionimprovestheenergyprofilescomparedtothereferenceQM/MMcalculations.InanalogousQM/MM/CGcalculationsonPHBH,theuseofthepol-CGdescriptionfortheouterwaterdoesnotaffectthestabilizationofthehighlychargedFADHOOH-pOHBtransitionstatecomparedtothefullyatomisticQM/MMcalculations.Detailedperformanceanalysisinaglycine–watermodelsystemindicatesthatcomputationtimesforQMenergyandgradientevaluationsatthedensityfunctionallevelaretypicallyreducedby40–70%forQM/MM/CGrelativetofullyatomisticQM/MMcalculations.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P13:TheBio3Dproject:InteractiveToolsforStructuralBioinformatics
LarsSkjærven*[1],ShashankJariwala[2],Xin-QiuYao[2],GuidoScarabelli[2],andBarryJ.Grant[2]
[1]DepartmentofBiomedicine,UniversityofBergen,Norway
[2]DepartmentofComputationalMedicineandBioinformatics,UniversityofMichiganMedicalSchool
WepresentextensiveupdatestoBio3D,apackageforbothinteractiveandbatchanalysisofbiomolecularstructure,sequenceandmolecularsimulationdata.Theseupdatesincludeuniquehigh-throughputensemblenormalmodeanalysisforexaminingandcontrastingthedynamicsofrelatedproteinswithnon-identicalsequencesandstructures,newconsensusmethodsforquantifyingdynamicalcouplingsandtheirresidue-wisedissectionfromcorrelationnetworkanalysis,interactivestructureensemblevisualizationaswellasmulticoresupportformanytimeintensivetasks.WedemonstrateanewonlineWebAppserverpoweredbyBio3Dforcomparativeproteinstructureanalysis.Thisserverfacilitates:(1)Theidentificationofrelatedproteinstructurestouserspecifiedthresholdsofsimilarity;(2)Theiralignmentandstructuresuperposition;(3)Sequenceandstructureconservationanalysis;(4)Inter-conformerrelationshipmappingwithprincipalcomponentanalysis,and(5)ensemblenormalmodeanalysisforcomparisonofpredicteddeformationsacrossproteinfamilies.TheWebApp,offerunparalleledcapabilitiesforensembleanalysisofproteinstructuresinauserfriendlywebbrowserenvironmentfromhttp://thegrantlab.org/bio3d/webapps.ThepreviousversionofBio3Dhasbeendownloadedbyover13,700researchersandcitedover200timesinthelastsixyears.MergingthesenewmethodswiththeexistingBio3Dinfrastructurerepresentsanimportantadvancethatwehopewillfurtherstimulatebiophysiciststousestructuralbioinformaticsmethodsasanaidinsolvingtheirresearchproblems.TheBio3DpackageandassociatedWebAppsaredistributedwithfullsourcecodeandextensivedocumentationunderaGPL2licensefromhttp://thegrantlab.org/bio3d/.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P14:MappingtheFunctionalGroupRequirementsoftheOccludedBindingPocketoftheβ2-AdrenergicG-ProteinCoupledReceptorusingGrandCanonicalMonte-Carlo/MolecularDynamicsCoupledSiteIdentificationbyLigandCompetitiveSaturationSimulations
A.D.MacKerellJr.*[1],S.K.Lakkaraju[1],E.P.Raman[1],W.Yu[1]
[1]DepartmentofPharmaceuticalSciences,SchoolofPharmacy,UniversityofMaryland,Baltimore,USA
β2-adrenergicG-proteincoupledreceptor(B2AR)isanimportanttherapeutictargetforAsthmaandotherobstructivepulmonarydiseases.Theligandbindingpocket(LBP)inthisandanumberofotherdrugtargetsisdeeplyburied,offeringsignificantchallengestocomputer-aideddrugdesignapproaches.SiteIdentificationbyLigandCompetitiveSaturation(SILCS)isanin-situfragmentsamplingmethodthatmapsthespatialdistributionsandapproximateaffinitiesofchemicallydiversefunctionalgroupsonamacromoleculethroughmoleculardynamics(MD)simulationsofthemacromoleculeinanaqueoussolutionofsmallmolecules.Notableisthesimultaneousinclusionofwatersandproteinflexibilitysuchthatthemethodaccountsforligandandbindingsitedesolvationwhenmappingtheaffinitypatternsofthedifferentfragments(FragMaps).ToprobeanoccludedLBP,anovelGrand-CanonicalMonte-Carlo/MD(GCMC/MD)strategyisextendedtotheSILCSmethodology.GCMCdrivesthefragmentsandexplicitsolventsamplingoftheoccludedpocket,andtheMDallowsfortheconformationalsamplingofthemacromoleculeinthepresenceofthesmallmolecules,whichisusefulinidentifyingregionsintheLBPthatwerenotidentifiedasaccessibleinthecrystalconformation.GoodagreementisobtainedbetweentheFragMapsandthepositionsofchemicallysimilarfunctionalgroupsofligandsobservedinthecrystalstructuresofB2AR.Ligandgridfreeenergy(LGFE),anapproximateestimationofbindingaffinityderivedfromFragMapshadgoodcorrelationwiththeexperimentallymeasuredbindingaffinityfordiverseligands.CleardifferenceswerefoundintheFragMapsattheLBPacrosstheactivatedandinactivatedconformationsoftheB2AR.Thesedifferenceswereusefulindeterminingthenatureofaligandthatwouldpreferentiallybindtooneofthetwostatesandconsequentlyguidedrugdesign.
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ISQBPPresident’smeeting2016–19-22June
Topic:Methodologicaladvances
P15:ConformationalclusteringofMDtrajectoriesusingstochasticproximityembedding
JérômeEberhardt*[1],RolandH.Stote[1],AnnickDejaegere[1]
[1]InstitutdeGénétiqueetdeBiologieMoléculaireetCellulaire(IGBMC)-CNRS:UMR7104Inserm:U964,UniversitédeStrasbourg-Parcd’Innovation1rueLaurentFries-BP1014267404ILLKIRCHCEDEX,France
Moleculardynamics(MD)simulationsarewidelyusedtoexploreconformationalensemblesofbiologicalmacromolecules.Withtheincreasingamountofcomputationalpoweravailableandthedevelopmentofenhancedsamplingmethods,,longtimescaleandcorrespondinglyimportantconformationalrearrangements,suchasfolding/unfoldingevents,arebecomingmoreandmoreaccessible.Asaconsequence,theanalysisofthelargesetsofconformationsgeneratedbyMDbecomeschallengingduetothecomplexityoftheunderlyingenergylandscape.Differentclusteringmethods,suchashierarchicalclusteringordimensionalityreduction(PCA,ISOMAP...)havebeenappliedtoMDsimulations,butthereremainsaneedforimprovedclusteringstrategiesthatcanhandlenonlineardataand/orbeappliedtoverylargedatasets.Weimplementedandtestedthepivot-basedversionoftheStochasticProximityEmbeddingmethod[1]inthecontextoflargeMDdatasets.Theadvantagesofthealgorithmintermsofdatastorageandcomputationalefficiencywillbepresented,aswellastheimplementationrealized.Applicationsandtestingtotheanalysisof15µsclassicalMD[2]and1µsaMDofa56-residue⍺/βsubdomainofproteinGandthe235-residueligandbindingdomainofnuclearreceptorRXR⍺,respectively,willbediscussed.Thedatapresentedshowsthepromiseofthismethodtoorganizeandvisualizelargeensemblesofconformations.
[1]Agrafiotis,D.K.(2003).Stochasticproximityembedding.Journalofcomputationalchemistry,24(10),1215-1221.
[2]Guarnera,E.,Pellarin,R.,&Caflisch,A.(2009).Howdoesasimplified-sequenceproteinfold?.Biophysicaljournal,97(6),1737-1746.
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ISQBPPresident’smeeting2016–19-22June
Topic:Nucleicacids
P16:TwistingDNA
AnnaReymer*[1],KrystynaZakrzewska[2],RichardLavery[2]
[1]Departmentofchemistryandmolecularbiology,UniversityofGothenburg,Gothenburg,Sweden
[2]MolecularmicrobiologyandStructuralBiochemistry,UniversitéLyon1/CNRSUMR5086,IBCP,Lyon,France
AbilityofDNAtodynamicallychangeitssuperhelicalstateiscentraltomanybiologicalfunctions,includingregulationofgeneexpression,repair,andpackaginginthecell.ToaddressconformationalmechanicsofDNAduringsupercoilingtransitionswedesignedanewstructuralconstraint,acomplementtostandardall-atommoleculardynamicssoftware,implementedinAmber12softwarepackage.Theconstraintcontrolsthevalueoftotaltwistbetweenanytwobase-pairsinaDNAmolecule,whileitdoesnotrestrictanyotherDNAhelicalparameter.TheconstraintcanbeappliedtoDNAmoleculesofanylengthandcurvature,aloneorincomplexwithothermolecules.ThisallowsforthefirsttimetostudyDNAinconditionsresemblingitsinvivostate,whereDNA’stopologyissubstantiallyrestricted.Asaproofofconcept,weappliedtherestrainttotwodifferentlinearDNAmolecules,changingtheirsuperhelicaldensityfrom-0.15to+0.15,whichcorrespondstounder-oroverwindingby5degreesperbasepairstep.DNAresponsetothetorsionalstressappearedtobediscontinuous-certaindinucleotidestepsappeartobemoresusceptibletoreducingorincreasingtheirtwist.Inparticular,CpGstepswerefoundtoactas“twist”-capacitors,suggestingthatsomeDNAsequencesallowmoreefficientredistributionofsuperhelicaldensity
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ISQBPPresident’smeeting2016–19-22June
Topic:Nucleicacids
P17:TautomericequilibriumofuracilinribosomalA-site
Y.Hartono*[1].L.Nilsson[1]
[1]DepartmentofBiosciencesandNutrition,KarolinskaInstitutet,Sweden
IthasbeenobservedinseveralstructuresofribosomethatU*-Ganticodon-codonbasepairintheA-siteisinWatson-Crickgeometryinsteadoftheexpectedwobble.InonecasetheinteractionisbetweentRNAValcmo5UACandcodonGUG.Alsoofnote,thisparticulartRNAisabletoincorporatevalinewithallValcodonboxGU(U/C/A/G).Sinceuridineismodified,theauthorsspeculatethatinthecmo5U-Gbasepair,cmo5Umightbeinenolformandthemodifiedmoeitymightcontributetotheequilibriumshift.Inanothercase,itisbetweentRNALysU*UUandcodonGAA.Here,thebasesarenotmodified,andtheauthorsspeculatethateitherUorGmightbeintheenolform.OurpreliminaryQMcalculationinvacuumandsolventofcmo5U-Gbasepairshowsthatalthoughtheextraneousmoeitydoescontributetoashiftinthetautomericequilibrium(enolinstabilityrelativetoketodecreasesfrom10.79kcal/molinuracilto4.52kcal/molincmo5UbasepairedtoG),theketotautomerisstillfavourable.Inthisstudy,weaimtoincludetheeffectoftheenvironment,mainlyribosomalA-siteenvironment,intoaccount.Todothis,weperformmoleculardynamicssimulation(MD),performQM/MMpointcalculationsontheMDsnapshots,andanalysetheresultwithQM-Non-BoltzmannBAR(QM-NBB),whichcombinesBennet'sacceptanceratio(BAR),acommontoolforfreeenergycalculation,withQM/MMcalculation.
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ISQBPPresident’smeeting2016–19-22June
Topic:Nucleicacids
P18:Conformationalselectionanddynamicadaptationuponlinkerhistonebindingtothenucleosome
MehmetAliÖztürk[1,2],GeorgiV.Pachov[1],RebeccaC.Wade[1,3,4]*andVladCojocaru[5,6]*
[1]MolecularandCellularModelingGroup,HeidelbergInstituteforTheoreticalStudies(HITS),Heidelberg,69118,Germany
[2]TheHartmutHoffmann-BerlingInternationalGraduateSchoolofMolecularandCellularBiology(HBIGS),HeidelbergUniversity,Heidelberg,69120,Germany
[3]CenterforMolecularBiology(ZMBH),DKFZ-ZMBHAlliance,HeidelbergUniversity,Heidelberg,69120,Germany
[4]InterdisciplinaryCenterforScientificComputing(IWR),Heidelberg,69120,Germany
[5]ComputationalStructuralBiologyLaboratory,DepartmentofCellularandDevelopmentalBiology,MaxPlanckInstituteforMolecularBiomedicine,Münster,48149,Germany
[6]CenterforMultiscaleTheoryandComputation,WestfälischeWilhelmsUniversity,Münster,Germany
LinkerhistonesareessentialforDNAcompactioninchromatin.Theybindtonucleosomesina1:1ratioformingchromatosomes.AlternativeconfigurationshavebeenproposedinwhichtheglobulardomainofthelinkerhistoneH5(gH5)ispositionedeitheron-oroff-dyadbetweenthenucleosomalandlinkerDNAs.However,thedynamicpathwaysofchromatosomeassemblyremainelusive.Here,westudiedtheconformationalplasticityofgH5inunboundandoff-dyadnucleosome-boundformswithclassicalandacceleratedmoleculardynamicssimulations.WefindthattheunboundgH5convertsbetweenopenandclosedconformations,preferringtheclosedform.However,theopengH5contributestoamorerigidchromatosomeandrestrictsthemotionofthenearbylinkerDNAthroughhydrophobicinteractionswiththymidines.Moreover,theclosedgH5opensandreorientsinacceleratedsimulationsofthechromatosome.Browniandynamicssimulationsofchromatosomeassembly,accountingforarangeofamplitudesofnucleosomeopeninganddifferentnucleosomeDNAsequences,supporttheexistenceofbothon-andoff-dyadbindingmodesofgH5andrevealalternative,sequenceandconformation-dependent,chromatosomeconfigurations.Takentogether,thesefindingssuggestthattheconformationaldynamicsoflinkerhistonesandnucleosomesfacilitatealternativechromatosomeconfigurationsthroughaninterplaybetweeninducedfitandconformationalselection.
Reference:Öztürketal.2016,NucleicAcidsResearch,inpress
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ISQBPPresident’smeeting2016–19-22June
Topic:Other
P19:Effectofacosolventinbindingeventsofhydrophobicmolecules
C.Senac[1],P.Fuchs[2],W.Urbach[1,3]andN.Taulier[1]
[1]SorbonnesUniversité,UPMCUnivParis6,CNRS,INSERM,Laboratoired'ImagerieBiomédicale,Paris,France
[2]InstitutJacquesMonod,CNRSUMR7592,UniversitéParisDiderot,Paris,France
[3]LaboratoiredePhysiqueStatistiquedel'EcoleNormaleSupérieure,UMRCNRS8550Paris,France
Thesearchofnewdrugsishinderedbythefactthatanincreasingnumberofdrugcandidatesarehydrophobic.Intheexperimentalinvitroinvestigationofdrugbindingproperties,mostpharmaceuticalcompaniesuseadditivestoincreasewatersolubilityofthesemostlyhydrophobicligands.Oneofthemostusedadditiveisdimethylsulfoxide(DMSO)despitethefactthatlittleisknownaboutitseffects.Inparticular,itisstillnotwellunderstoodhowDMSOmodifiesthehydrationofthehydrophobicbindingsitesofboththepharmaceuticaltargetanditsligand.
InordertobetterunderstandtheinteractionofDMSOwithhydrophobicsurfacesanditsimpactonthebindingofhydrophobicligands,wehaveperformedexperimentalandmoleculardynamicsstudiesoftheinteractionbetweenγ-cyclodextrin(γ-CD),asmallmoleculehavingasinglehydrophobicbindingsite,withitsligand1-adamantanecarboxylicacid(ADA).Ourvolumetricmeasurementsshowedthatthebindingconstantissignificantlygreaterinasolutionof5%DMSOthaninpurewater.OurmoleculardynamicssimulationsprovidedmolecularinsightsontheeffectofDMSOinthebindingeventinthepresenceandabsenceof5%DMSO.WeobservedacompetitionbetweenDMSOandthehydrophobicpartofADAforγ-CD’sinteractionsiteduringthebindingevent.Surprisingly,DMSOincreasedthemobilityofADAwhenitwasboundtoγ-CD,whileatthesametimeADAmademoreH-bondswithγ-CDthanwithwater.DMSOseemedtostabilisetheinteractionbetweenADAandγ-CD.FreeenergycalculationsonthesesystemsareongoinginordertoelucidatetheDMSOcontributioninthethermodynamicsofthesystem.
ThisworkshouldhelpprovideabetterrationalizationinthedesignofpotenthydrophobicligandsknowingtheDMSOcontributiontotheirbindingproperties.
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ISQBPPresident’smeeting2016–19-22June
Topic:Other
P20:SolventdynamicscontrolsthestabilityandreactivityofGrignardreagents.
RaphaelM.Peltzer*[1],[2],OdileEisenstein[2],[3],MicheleCascella[1],[2]
[1]DepartmentofChemistry,UniversityofOslo,Norway
[2]CentreforTheoreticalandComputationalChemistry(CTCC),Norway
[3]CNRS,Universite’deMontpellier,France
TheGrignardreactioniswidelyappliedinorganicchemistryforsynthesisofacarbon-carbonbondbetweenanucleophilicorganometallichalideofnominalformulaR-Mg-X,andanelectrophiliccarbon.[1]Despitethewellestablishedexperimentalpractice,themoleculardetailsofsuchreactionsarenotwellunderstoodyet.TheseveralissuesrelatedtoGrignardreagentscomprisetheaggregationstatesoftheR-Mg-Xmolecules,thepossibleco-existenceofmultiplestructuresforsuchaggregates,aswellasthecoordinationchemistryoftheinvolvedMg2+ions.Ourstudyinvolvesab-initiomoleculardynamics,wheretheelectronicproblemissolvedbyDensity-Functional-Theory[2]usingthePerdew-Burke-Ernzerhofexchange-correlationfunctional.[3]Enhancedsamplingoftheconformationalspaceisachievedbymetadynamicssimulations.[4]Ourresultsshowthatvariouscompoundsthatarecharacterisedbydifferentsolvationstructuresarethermallyaccessible.Inparticular,allstepsleadingtothe(CH3MgCl)2=Mg(CH3)2+MgCl2reaction(Schlenkequilibrium)aredirectlycontrolledbythedynamicsofTHFmolecules,whichactbothasbothnucleophileandleavinggroupsattheMg2+centre.Therefore,understandingreactivityofGrignardreagentsrequirestakingintoconsiderationsolventmoleculesasdirectcomponentsofthereactionpathwaysaswellasmultipleconformationsandsolvationstructures.
References
[1]Shirley,D.A.Org.React.8:28–58.(1954).
[2]Lippert,Gerald;Hutter,Jürg;Parrinello,MicheleTCA:Theory,Computation,andModeling103(2):124–140.(1999).
[3]Perdew,JohnP.;KieronBurke;MatthiasErnzerhofPhys.Rev.Letters77(18):3865–3868.(1996).
[4]Laio,A.;Parrinello,M.PNAS99(20):12562–12566.(2002).
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ISQBPPresident’smeeting2016–19-22June
Topic:Other
P21:AtomisticSimulationofSolubilizationofPolycyclicAromaticHydrocarbonsinaSodiumDodecylSulfateMicelle
X.J.Liang*[1-3],M.Marchi[2-3],S.Abel[2-3]
[1]SchoolofEnvironmentandEnergy,SouthChinaUniversityofTechnology,China
[2]Commissariatàl'EnergieAtomiqueetauxEnergiesAlternatives,DRF/IBITECS/SB2SM/LBMS&CNRSUMR9198,Saclay,France
[3]InstituteforIntegrativeBiologyoftheCell(I2BC),CEA,CNRS,UnivParis-Sud,UniversitéParis-Saclay,91198,Gif-sur-Yvettecedex,France
Surfactant-enhancedsoulubilizationofpolycyclicaromatichydrocarbons(PAHs)hasbeenconsideredasapromisingtechniqueforwaterandsoilremediation.OneofthemainfactorsaffectingremediationefficiencyissurfactantsoulubilizationpowertowardsPAHs,whichdependson
soulubilizationsitesofPAHsinthemicelle.Hence,tocapturethesoulubilizationsitesattheatomiclevel,solubilizationoftwoPAHs,naphthalene(NAP,2-benzene-ringPAH)andpyrene(PYR,4-benzeneringPAH),intoasodiumdodecylsulfate(SDS)micellewasdonethrough
all-atommoleculardynamics(MD)simulations.WefindthatNAPaswellasPYRcouldmovebetweenthemicelleshellandcoreregionscontributingtotheirdistributioninbothregionsofthemicelleatanyPAHconcentration.Moreover,bothNAPandPYRprefertostayinthemicelle
shellregion,whichmayarisefromthegreatervolumeofthemicelleshell,theformationofhydrogenbondsbetweenNAPandwaterandthelargermolecularvolumeofPYR.ThePAHsareabletoformoccasionalclusters
(fromdimertooctamer)insidethemicelleduringthesimulationtime,dependingonPAHconcentrationinthesolubilizationsystems.Furthermore,themicelleproperties(i.e.size,shape,micelleinternalstructure,alkylchainconformationandorientation,andmicelleinternaldynamics)arefoundtobenearlyunaffectedbythesolubilizedPAHs,whichisirrespectiveofthepropertiesandconcentrationsofPAHs.
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ISQBPPresident’smeeting2016–19-22June
Topic:Other
P22:Coarse-grainedmoleculardynamicsoftheionicflowthroughaproteicnanopore
RosaRamirez[1],NathalieBasdevant*[1]
[1]LAMBELaboratory,UniversityofEvry,France.
Coarse-grainedmodels,whichrepresentseveralatomsbyonesite,arebecomingincreasinglypopularsincetheycanovercomethelimitationsofall-atommodelstosimulatemoleculardynamicsofbiologicalsystemsfortime-lengthsclosertoexperiments.
Wehaveperformedcoarse-grainedmoleculardynamics,usingtheMARTINIforce-field,oftheionictransportthroughaproteicnanopore,thealpha-hemolysinchannel,insertedintoaDPPClipidmembranebilayersurroundedbysolventandKClions,inthepresenceofdifferentelectricfields.Thesystem,composedof360000atoms,isreducedto90000coarse-grainedsites,allowingmoleculardynamicsofseveralmicroseconds.Thistime-lengthisclosertothecharacteristictimeofthenanoporeexperimentswhicharealsoconductedattheLAMBE.
Usingthesesimulations,wehavecomputedioniccurrentsthroughtheporeconsistentwithexperiments.Inparticular,wecouldobservedtheso-called"rectification”,whichisthecurrentasymmetrybetweenpositiveandnegativefields,accordingtopreviousstudiesandexperiments.Thisasymmetrycouldbeexplainedbystudyingtheionicdistributionaroundthepore.Additionalsimulationsofanon-chargednanoporeatthesameconditionsgaveusinsightabouttheroleoftheporegeometryinthisasymmetry.
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P23:NorovirusCapsidAssembly
ThibaultTubiana*[1],AnnaD.Koromyslova[2,3]GrantSHansman[2,3],YvesBoulard[1],StéphaneBressanelli[1]
[1]Interactionsandassemblymechanismsofproteinsandpeptides,B3S,I2BC,UMR9198
[2]SchallerResearchGroupattheUniversityofHeidelbergandtheDKFZ,Germany,Heidelberg69120
[3]DepartmentofInfectiousDiseases,Virology,UniversityofHeidelberg,Germany,Heidelberg69120
Norovirusesaresmallnon-envelopedviruseswithsingle-strandedpositivesenseRNA.Theyaretheleadingcauseofacuteviralgastroenteritisinhumansandanimalsandareofworldsignificanceforhealth.TheCapsidiscomposedof180copiesofasinglestructuralproteinVP1consistsoftwomaindomains:theshelldomain(S)andtheprotrudingdomain(P)whichcontainstwosubdomains(P1andP2).ThePdomainisthepartexposedtothebiologicalenvironment,itallowsinparticulartostabilizeandadjustthesizeofthecapsid.TheSdomainis,meanwhile,theassemblymoduleofviralcapsid.
OurlabandothershaveshownexperimentallythatNoroviruscapsidscanbedisassembledandreassembledinvitroaccordingtothepHofthemedium(highpH=disassembled,lowpH=reassembled).TheassemblyprocessbeginswithVP1dimerswhichquicklyproduceintermediatesof10~11dimerswhichthenslowlyassemblethemselvestocapsids.
Usingcomputationalapproachessuchashomologymodelling,simulatedannealing,moleculardynamicssimulationsinallatomandcoarsegrainsystems,wearelookingtoextendtheseskineticstudiesonhumannorovirusandthustodeterminethemolecularbasisofnoroviruscapsidassembly.
Ourfirstresultsextendpreviousstudiesalreadyachievedintheteam.ThesesresultsshowthatthedeprotonatedformoftheN-terminalarmestablishesmanysaltbridgesandallowitsstabilizationontheSdomain.OurnewSAXSexperimentsshowthatathighpHthedimerisinaquiteextendedformandverydifferentfromthecrystallographicstructure.ThankstomodelisationandmoleculardynamicstoolswehavedevelopedamodelthatfitstheexperimentalSAXSdata.OurresultsindicatethatpHandprotonationstatehaveamajorroleinthefirststepofassembly:Dimertointermediate.
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P24:MoleculardynamicssimulationsofcytosolicphospholipaseA2incomplexwithpotentinhibitors
S.Vasilakaki[1],T.Mavromoustakos[1],G.Kokotos*[1]
[1]DepartmentofChemistry,NationalandKapodistrianUniversityofAthens,Greece
PhospholipasesA2(PLA2s)isasuper-familyofenzymesthatcleaveafattyacidfromthesn-2positionofphospholipids.Theproductsofthisenzymaticreactionpromotetheappearanceofinflammatoryevents.Thecurrentresearchinthisfieldtargetstoidentifytheconditionsthatpromotetheupregulationoftheseenzymesandthecross-correlationbetweentheisoforms.However,boththehighhomologyoftheenzymesbelongingtothesamegroupandtheirsimilarcatalyticmechanism,makethistargetchallenging.
TherearesixgroupsofPLA2andeachofthemconsistsofmanysubgroups.HerewepresentourcomputationalstudiesoncytosoliccPLA2groupGIVAincomplexwiththreepotentinhibitors.Theenzymehasbeencrystallizedintheunboundstateandflexibledockingwasusedinordertoplacetheinhibitorsintheactivesite.InordertodetermineastandardmethodofsimulatingthecPLA2complexes,producingfastandcleanresults,wesimulatedtheknownpyrrophenone[1]inhibitorandtwohighlypotentcPLA2inhibitors,56n[2]andAX074[3].BindingfreeenergycalculationswereperformedusingtheMM-PBSAmethodandprincipalcomponentanalysisusingthecpptrajmoduleofAmberTools.
Acknowledgments:
‘Thisresearchhasbeenco-financedbytheEuropeanUnion(EuropeanRegionalDevelopmentFund-ERDF)andGreeknationalfundsthroughtheOperationalProgram‘‘CompetitivenessandEntrepreneurship’’oftheNationalStrategicReferenceFramework(NSRF)-ResearchFundingProgram:“PhospholipasesA2inhibitors:Developingadrugpipelineforthetreatmentofinflammatoryneurologicaldisorders."
‘ThisworkwassupportedbycomputationaltimegrantedfromtheGreekResearch&TechnologyNetwork(GRNET)intheNationalHPCfacility“ARIS”underprojectID:pr001008-COMPINFLAM.’
References
[1]Burke,J.E.etal.J.Am.Chem.Soc.2009,131,8083–8091
[2]Tommo,T.etal.J.Med.Chem.2014,57,7244–7262
[3]Stephens,D.etal.J.Med.Chem.2006,49,2821-2828
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
S.P.Tiwari*[1,2,5],E.Fuglebakk[1,2],S.MHollup[2],L.Skjaerven[2,3],T.Cragnolini[1,2,4],S.H.Grindhaug[2],K.M.Tekle[2],ReuterN.[1,2]
[1]DepartmentofMolecularBiology,UniversityofBergen,Norway
[2]ComputationalBiologyUnit,DepartmentofInformatics,UniversityofBergen,Norway
[3]DepartmentofBiomedicine,UniversityofBergen,Bergen,Norway
[4]Presentaddress:UniversityChemicalLaboratories,UniversityofCambridge,UnitedKingdom
[5]Presentaddress:ComputationalStructuralBiologyResearchUnit,RikenAdvancedInstituteforComputationalScience,Kobe,Japan
Thescopeforexploringthedynamicallandscapesofproteinsincreaseswithincreasingavailabilityofstructuraldata.Oneapproachinvolvesthecomparisonoftheintrinsicflexibityofproteins,wherechangesthattakeplaceduetomutationsthatimpactfunctionortheirevolutionaryconservationcanbeanalysed.Normalmodeanalysis(NMA)usingelasticnetworkmodels(ENMs)hasbeenshowntobeaneffectivecomputationalmethodtostudytheintrinsicflexibilityofproteins,anditsefficiencymakesitwell-suitedforanalysinglargerdatasets.WeprovideaccesstoarobustcomparativeanalysisprotocolinWEBnm@v2.0(http://apps.cbu.uib.no/webnma/home)thatisquickandeasytorun,requiringthealignmentofthestructuraldatasetintheFASTAformatandtheirPDBfilesasinput(Tiwarietal.,2014).TheprotocolincludestheimplementationoftheBhattacharyyacoefficient,ascorethathasbeenshowntobeareliablesimilaritymeasurebetweenpairsofproteinsinadataset(Fuglebakketal.,2012,Fuglebakketal.,2013,Pericaetal.,2014).Wehaveupgradedtheweb-interfacetoimproveitsusabilityandperformances,suchasincludingtheinteractivevisualisationofthesixlowestenergynormalmodevectorsandtheanalysisofpairwisecorrelations.Inadditiontotheupdates,wehavealsoprovidedaSOAPweb-serviceforamoreprogrammableinterfaceforbothofthesesections.
[1]TiwariS.P.,FuglebakkE.,HollupS.M.etal.(2014)BMCBioinform.15:427
[2]FuglebakkE.,EchaveJ.,ReuterN.(2012)Bioinformatics28(19):2431-2440
[3]FuglebakkE.,ReuterN.,HinsenK.(2013)J.Chem.TheoryComput.9(12):5618-5628
[4]PericaT.,KondoY.,TiwariS.P.etal.(2014)Science346(6216):1254346
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P26:FoldandFlexibility:Whatcanproteinsmechanicalpropertiestellusabouttheirfoldingnucleus?
S.Sacquin-Mora*[1]
[1]LaboratoiredeBiochimieThéorique,CNRSUPR9080,InstitutdeBiologiePhysico-Chimique,13
ruePierreetMarieCurie,75005Paris,France
Thedeterminationofaprotein’sfoldingnucleus,i.e.asetofnativecontactsplayinganimportant
roleduringitsfoldingprocess,remainsanelusiveyetessentialprobleminbiochemistry.Inthis
work,weinvestigatethemechanicalpropertiesof70proteinstructuresbelongingto14protein
familiespresentingvariousfoldsusingcoarse-grainBrownianDynamics(BD)simulations.The
resultingrigidityprofilescombinedwithmultiplesequencealignmentsshowthatalimitedsetof
rigidresidues,whichwecalltheconsensusnucleus,occupyconservedpositionsalongtheprotein
sequence.Theseresidues’side-chainsformatightinteractionnetworkwithintheprotein’score,
thusmakingourconsensusnucleipotentialfoldingnuclei.Areviewofexperimentalandtheoretical
literatureshowsthatmost(above80%)oftheseresidueswereindeedidentifiedasfoldingnucleus
memberinearlierstudies.
Keywords:proteinfolding;foldingnucleus;proteinsmechanics;coarse-grainsimulations.
Ref:Sacquin-Mora,J.Royal.Soc.Interf.,12:20150867,2015
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P27:DesigningpeptideligandstoinhibittheTiam1PDZDomain
N.Panel*[1],T.Simonson[1]
[1]BiochemistrylaboratoryofEcolePolytechnique,UMR7654,France
Small,modularproteindomainsoftendirectprotein-proteininteractions(PPIs)andformthebuildingblocksofeukaryoticsignallingpathways.PDZdomainsareamongthemostwidespreadandbest-studied,withover400inourgenome.Theyspecificallyrecognizethe4-7C-terminalaminoacidsoftheirtargetproteins,aswellasthecorrespondingpeptidesinisolation.WefocusontheTiam1protein,aRacGTPexchangefactorinvolvedinneuronalprotrusionandaxonguidance.ItsactivitymodulatesRacsignaling,whosedysregulationcancausecancer.Tiam1canbeinhibitedbysmallpeptidesthatbindtoitsPDZdomainanddownregulateitsinteractionwithitstargetproteins,includingRac1.InhibitionofPPIsiscurrentlyadifficultbutrecognizedstrategyfordrugandbioreagentdesign.
ToinvestigatetheTiam1-peptidebindingmechanismanddiscoverpotentialpeptideinhibitors,structuralmodelswerebuiltandMDsimulationsdoneforover40Tiam1-peptidecomplexes,basedonavailablecrystallographicstructures.Thepeptidesequencesincludedexperimentally-studiedvariantsofthenaturaltargetligandsyndecan,sequencesfromacombinatoriallibraryofpeptidebinders,andvariantswithnewsidechaintypesatthemainspecificitypositions(thelastfourpositionsofthepeptide).BindingfreeenergydifferenceswerecomputedusingbothPoisson-BoltzmannandGeneralizedBorncontinuumelectrostaticsmodels,combinedwithasimpleLinearInteractionEnergyfreeenergyfunction.Forafewofthevariants,morerigorous,alchemicalMDfreeenergysimulationswereperformed,providingreferencedata.Allthesesimulationsleadtosimplebutwell-parameterizedPB/GBmodelsanddatasetsthatrepresentanimportantbenchmarkforthisleveloftheory.Theyalsogivedetailedinsightsintothegroupsandinteractionsthatdetermineprotein-peptidebinding,andshouldhelpustodiscoververytightlybindingpeptidesandpeptidomimeticsforuseasbioreagents
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P28:ThermodynamicsofProteaseSubstrateSpecificity
U.Kahler,B.Waldner,JulianE.Fuchs,KlausR.Liedl*
UniversityofInnsbruck
Proteasesshowabroadspectrumofspecificityfromveryspecificproteaseswithuniquecleavagepatternsinvolvedincellularsignalingpathwaystopromiscuousproteasesthattakepartindigestiveprocessesandcleaveawiderangeofsubstrates.
Weaimatunderstandingmechanismsofproteaserecognitionandexplainingthedifferencesintheirspecificity.Inourgroupametrichasbeendevelopedthatquantifiesthesub-pocket-wisespecificityofproteasesbasedontheexperimentalcleavagedataintheMEROPSdatabase.
Specificityislinkedtothelocalflexibilityofthebindingsiteregionsoftheproteases.Variousinteractionsbetweenproteinandsubstrateparticipateinbinding.Bothenthalpicandentropictermsinfluencesubstraterecognitionandareestimatedbymoleculardynamicssimulationsofserine,cysteineandasparticproteases.Theflexibilityoftheproteasesisassessedwithdifferentmetrics.Oneofthem,dihedralentropies,usesthestatepopulationsofdihedralsintheproteasebackboneoversimulationtimetoquantifylocalresidue-wisebackboneflexibility.Therebyitisalignment-independentunlikethemeansquarefluctuationandtheB-factor.LocalinteractionpotentialsareevaluatedwithGRID.Itcalculatesallmajorenthalpicinteractionsthatcancontributetosubstratebinding.GRIDisnotonlybeusedontheX-raystructuresbutalsoonrepresentativestructuresfromtheMDsimulationclusters.
Furthermorehydrationcontributestoproteinrecognition.Rotationalandorientationalentropiesofwaterorderingaswellassolute-solventandsolvent-solventinteractionsoverthecourseofthetrajectoryarecalculatedwiththeGISTalgorithm.Thus,theimpactofsolvationonsubstratebindingisinvestigated.
Thedeterminedentropicandenthalpiccontributionstosubstraterecognitionareusedtoexplaintheexperimentallymeasuredsubstratereadoutofproteases.
Theinformationonthedrivingfactorsofsubstraterecognitioncanbetransferredtosmallmoleculesandprovideaccesstonew,moreefficientstrategiesfordrugdesignprocesses.
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P29:SpecificitydeterminantswithintheBcl-2familyrevealedbydynamicsandenergetics
S.Ivanov*[1,2],R.Huber[1],J.Warwicker[2],P.Bond[1,3]
[1]BioinformaticsInstitute,AgencyforScience,TechnologyandResearch(A*STAR),Singapore
[2]ManchesterInstituteofBiotechnology,TheUniversityofManchester,UK
[3]DepartmentofBiologicalSciences,NationalUniversityofSingapore,Singapore
Geneduplicationisoneofthemoreprevalentmechanismsintheexpansionanddiversificationofproteinfamilies,leadingtoanabundanceofintra-andinterfamilyprotein-proteininteractionsincriticalregulatorynetworks.Subsequenttogeneduplication,bindingspecificitycandivergeatgreatlydifferingrates.Quiteoften,potentialbindingpartnersarehighlysimilarwithonlysubtledifferencesbetweenbindersandnon-binders.Thus,elucidatingandpredictingthespecificitydeterminantswithinthesesystemsbecomesadaunting,yetpressingtask.
Here,wepresentamoleculardynamics-basedenergeticanalysisoftherecognitionmechanismandspecificitydeterminantswithintheBcl-2familyofapoptosis-regulatingproteins–acentralnodeintheintrinsicapoptoticpathway.Duetotheirapoptosis-regulatingfunction,theseproteinsareintenselyinvestigatedtargetsforanticancertherapeutics.Beingguidedbyacomprehensivedatasetofisothermaltitrationcalorimetrybindingdata,wefirstmodeledatotalof60differentcomplexescomprisingfiveantiapoptoticproteinsboundtodifferentBH3peptideswithaffinitiesspanningfourordersofmagnitude.Subsequently,usingtheAmber14packageandff14SBforcefield,wegeneratedextensive,atomic-resolutionsimulationsamplingforeachcomplex,totaling~20microsecondsofconformationaldynamics.Wequantitativelyassessedtheenergeticsoftheprotein-proteininteractionsacrosstheentirefamilyviamolecularmechanics/PoissonBoltzmannsurfacearea(MM/PBSA)calculations.Finally,bymappingthemeansandvarianceofthecomputedper-residueΔHvaluestotheproteinmolecularsurface,weelucidatethemechanismunderlyingintermolecularrecognitionwithinthefamily,demonstratewhereaffinityandspecificityarise,andsubstantiateourresultswithextensiveexperimentalevidence.Ourworkhasconsiderableexplanatorypowerwithregardtoexperimentalobservations.Moreover,ourresultsofferin-depthinsightintotherelationshipbetweensequence,energetics,andstructure-wedemonstratethatintheBcl-2family,foldsaremoreconservedthanenergies,whichareinturnmoreconservedthansequences.Wealsoelucidateenergyandspecificityhotspots,whichshouldhelpguidethedesignoftargetedtherapeuticswithdesiredbindingcharacteristicsformanipulatingtheprotein-proteininteractionswithintheapoptosis-regulatingpathway.Critically,theapproachtakenheremayrepresentageneralmethodologyfortargetingotherparalogousprotein-proteininteractions.
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P30:Ahybridparticle-fieldmodelforcoarse-grained/mesoscalesimulationsofpolypeptides
SigbjørnL.Bore,[1]HimaB.Kolli,[1]GiuseppeMilano,[2]andMicheleCascella[1]
[1]DepartmentofChemistryandCentreforTheoreticalandComputationalChemistry,UniversityofOslo,Norway
[2]DepartmentofChemistry,UniversityofSalerno,Italy
TheHybridparticle-field(MD-SCF)methodhasproventobeapowerfultoolinthestudyofsoftmattersystems.[1]Inthismethodnon-bondedinteractionsaretreatedinameanfieldformalism.Computationalefficiencyisgainedbyavoidingpairinteractionsandisefficientlyparallelizable.[2]HerewepresenttheextensionofMD-SCFtostudypolypeptidechains.Ourmodelisbasedonatwo-beadcoarsegrainedrepresentationofaminoacids,andexplicitelectrostaticsfollowingthemultipolarreconstructionmethodpreviouslyestablished.[3]Thenewmodelpresentsanaccuratecalibrationofbondedinteractionsforthebackbonebyacombinedbendingandtorsionalpotential.Thereferencepotentialofmeanforce(PMF)isobtainedfrommetadynamicssimulationsofanatomisticmodelofpolyglycineinwater.Stabilizationofsecondarystructuresbyhydrogenbondsarereproducedbydipole-dipoleinteractions.Theimplementedalgorithmrigorouslydistributesforcesactingonthepeptidedipolesontothebeads,thusnotenlargingthenumberofdegreesoffreedomofthesystem.Aminoacidstructuralpropensityisintroducedbyappropriatetorsionalpotentialsbetweenbeads.ThemodelisimplementedinOCCAM,ahybridMDandfieldsimulationpackage.[2]Thenewimplementedmodelswillpromoteefficientstudyofproteindynamicsinverylargesystems.
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ISQBPPresident’smeeting2016–19-22June
Topic:Proteindynamics
P31:UNRAVELINGTHEINHIBITORYMECHANISMOFALPHA-1ANTITRYPSINUSINGACCELERATEDMOLECULARDYNAMICS
O.J.Andersen*[1,2],M.W.Risør[1,3,4],E.C.Poulsen[1,3],N.C.Nielsen[1,2],Y.Miao[5],J.J.Enghild[1,3],B.Schiøtt[1,2]
[1]CenterforInsolubleProteinStructures(inSPIN)andtheInterdisciplinaryNanoscienceCenter(iNANO),AarhusUniversity,Aarhus,Denmark
[2]DepartmentofChemistry,AarhusUniversity,Aarhus,Denmark
[3]DepartmentofMolecularBiologyandGenetics,AarhusUniversity,Aarhus,Denmark
[4]DepartmentofIntegrativeStructuralandComputationalBiology,TheScrippsResearchInstitute,LaJolla,CA92037,UnitedStates
[5]HowardHughesMedicalInstituteandDepartmentofPharmacology,UniversityofCaliforniaatSanDiego,LaJolla,CA92093,UnitedStates
Background:Alpha-1antitrypsinisaserineproteaseinhibitor(belongingtotheserpinsuperfamily)thatprotectslungtissuefromdegradationbyhumanneutrophilelastase[1].Itsstructurecontainsastretchofaminoacidsknownasthereactivecenterloop(RCL)thatactsasasubstratefortheprotease.Aspartoftheproteasecleavagemechanism,anacyl-enzymeintermediateisformedbetweentheproteaseandtheRCL.Beforethecleavagecanbecompleted,aconformationalchangeoccursinwhichtheproteaseistranslocatedfromthetoptothebottomofantitrypsin[2],duringwhichtheactivesiteoftheproteaseisdistortedtosuchanextentthatthecomplexgetstrappedintheacyl-enzymeintermediatestate.Antitrypsinthusactsasasuicideinhibitoragainsttheprotease.Concomitantlywiththetranslocationoftheprotease,theRCLisinsertedasanextraβ-strandinthecentralβ-sheetofantitrypsin.Themechanismbehindthisinsertionprocessisoneofthegreatmysteriesofserpinfunction.Tocomplicatethematter,ahelixisplacedinfrontofthesheet,seeminglyobstructingtheinsertion.
Findings:BasedonatrajectoryoftheRCLinsertionprocessobtainedusingacceleratedmoleculardynamics,wesuggestthatthehelixplacedinfrontofthecentralβ-sheetactsasachaperonethatacceleratestheinsertion.ItdoessobyreducingtheconformationalspacereadilyavailabletotheRCLbyformingstableinteractionswithitthroughouttheentireinsertionmechanism.AnotherconundrumstemsfromtheconversionoftheRCLintoaβ-strand,whichentailsthateveryotherresiduemustinsertintotheproteincore.Theobtainedtrajectoryrevealshowthisisenabledbyinternalwaterpocketsandpathwayswithintheprotein.
[1]Gooptu,B.,Lomas,D.A.J.Exp.Med.7(2008)1529-1534
[2]Huntington,J.A.TRENDSBiochem.Sci.31(2006)427-435
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P32:MappingofCholesterolBindingSitessurroundingTheHumanDopamineTransporter
TaliaZeppelin*[1],XavierPeriole[1]andBirgitSchiøtt[1]
[1]DepartmentofChemistry,AarhusUniversity,Denmark
Thehumandopaminetransporter(hDAT)isessentialforregulatingdopaminergicneurotransmissionbytransportingdopaminefromthesynapticcleftbackintothepresynapticneuron.DysregulationofhDATisinvolvedinseveraldebilitatingdiseasessuchasParkinson'sdisease,attentiondeficithyperactivedisease(ADHD)andTourette'ssyndrome,amongothers.DATisalsothetargetofmanyillicitdrugsandhasbeenpresumedtobeinvolvedinthedevelopmentofaddiction.Itisthereforeessentialtofurthertheunderstandingofthetransportersarchitecture,transportmechanismandmeansofregulationtoaidindrugdevelopment.TherehasbeenpublishedarangeofDATstructuresallfromthespeciesDrosophiliaMelanogaster,whichcontainatleastoneconservedco-crystallizedcholesterolmolecule.ItisbelievedthatcholesterolactsinregulatinghDATactivity,butwhetheritsmechanismofregulationissitespecific,hasyettoberesolved.Thisquestionissoughttobeansweredwithinthiscontributionusingcoarse-grainedmoleculardynamicssimulationsofahDAThomologymodelembeddedinamixedPOPCandcholesterolmembrane.BasedonpreliminaryresultsitseemsthatthereexistscholesterolspecificsitessurroundinghDATandthatonepredominatesovertheothersinoccupancyduringthesimulation.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P33:ComputationalinvestigationofthemembraneassociationofN-terminalacetyltransferase60(Naa60)
Q.Waheed*[1],N.Reuter[1]
[1]DepartmentofMolecularBiology,UniversityofBergen,Norway
N-terminalacetyltransferases(NATs)aremembersofGCN5-re-latedN-acetyltransferase(GNAT)superfamily,knownforplayingcatalyticroleinN-terminalacetylationoftheproteins.VeryrecentexperimentalstudieshaveshownthatNatForNa-acetyltransferase60(Naa60)istheonlymemberofthisfamilywhichgivesevidenceoforganellarsub-cellularlocalization.Theothermembershavebeenshowntolocalizeinthecytosole.Furthermore,Naa60knockdowncausesGolgiscattering,indicatingthatitplaysimportantroleinGolgiintegrityandlocalizetoGolgi.ItisalsoshownexperimentallythatonlytheC-terminalpartoftheproteinisimportantandenoughforitsmembraneassociation.
Wehaveusedmoleculardynamic(MD)simulationstostudythemembraneassociationofNaa60.Implicitandcoarsegrainedmodelsgiveopportunitytostudythelongtimephenomenonlikeproteins-membranesbinding.PredictedsecondarystructurehavingtwohelicesintheC-terminalregionofNaa60wasusedforsimulations.Helicalwheelanalysisofboththehelicespredictstronghydrophobicfaces.MDsimulationsshowthathelicesbindwiththemembranethroughthehydrophobicinteractionsandthebindingmodeoftheC-terminalofNaa60isperipheral.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P34:InvestigatingtheInteractionofthePutativeTransmembraneDomainofHumanPhospholipidScramblasewithLipidBilayersusingMolecularDynamicsSimulations
T.Venken[1],A.Schillinger[1],E.Fuglebakk[1],N.Reuter[1]
[1]DepartmentofMolecularBiology,UniversityofBergen,Norway
Humanphospholipidscramblase1(SCR)containsaC-terminalhelix(CTH)(residues288-318)thathasbeenpredictedtobeatransmembranedomain.Surprisingly,theCTHsequencecontainsanaspartate,aresiduecommonlynotfoundintypicaltransmembranesegments.Toexplainthisdiscrepancy,weappliedamultiscalemodellingapproachusingimplicit,coarse-grainedandatomisticmoleculardynamicssimulationstoinvestigatethedynamicsoftransmembraneCTHinlipidbilayers.Twopeptidesweretested,onecontainingtheputative19aminoacidtransmembranesegmentofSCRandalongerconstructcontainingalsothesubsequentC-terminalend.Wefindthat,althoughtheAspcaninducelocalwaterdefectsfortheshortestpeptide,thedefectsareminorforthelongestpeptideandarereducedevenfurtherwhencholesterolispresentinsidethemembranemodels.TheC-terminalresiduesoftheCTHengageinspecificpolarinteractionswiththecholesterolhydroxylgroup,inagreementwithpreviousexperiments.Notably,weshowthattheAspisalsoimportantfortherecognitionofcholesterolmoleculesandhencecontributestothestabilizationofthepeptidewithinthemembrane.ThisstudysupportstheideaoftheCTHasatransmembranesegmentandexplainsthemolecularrecognitionofcholesterolbytheSCRC-terminalend.WespeculatethatprotonationofC-terminalacidicresiduescanbeimportantformodulatingthesizeofthewaterdefects,therebypossiblyinfluencingtheSCRscramblingactivity.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P35:Interactionofsmallmoleculeswithlipidbilayers.
E.Sanchez-Garcia[1],S.Mittal*[1]
[1]DepartmentofTheoreticalChemistry,Max-Planck-InstitutfürKohlenforschung,Mülheimander,Germany
Biologicalmembranesaredynamicstructuresthatfacilitateimportantfunctionsinthebody,suchascontrollingthemovementofvarioussubstancesacrossthecell.Thehumanimmunodeficiencyvirus(HIV-1)isanenvelopedretrovirus,whichacquiresitslipidenvelopeprimarilyfromthehostcellmembraneitfusesto.ItiswelldocumentedthatthelipidenvelopeofHIV-1isenrichedincholesterolandsphingomyelin,amongotherlipids.[1]
ThemoleculartweezerCLR01isasupramolecularligandthatfeaturesabelt-likeelectron-richcavityformedbyalternatingfusednorbornadieneandbenzenerings.CLR01isabletobindspecificallytolysineand,tolesserextent,toarginineresiduesviacombinedhydrophobicandelectrostaticinteractions.MoleculartweezershavebeenreportedtomodulatepropertiesofproteinssuchashIAPP,α-synucleinandPAP248-286,withpotentialtherapeuticimplicationsforthetreatmentofdiseaseslikeDiabetesII,ParkinsonandHIV,amongothers.[2-4]
Here,weusemoleculardynamicssimulationstoinvestigatethemechanismofmembranedisruptionbyCLR01inlipidbilayermodels.Asacontrolsetup,wealsostudytheinteractionsofCLR03,areferencemoleculecarryingthesamechargedcorethanCLR01butlackingitselectron-richcavity.
References:
1.Aloia,R.C.,etalProc.Natl.Acad.Sci.U.S.A.85,900(1988).
2.Fokkens,M.,Schrader,T.,Klärner,F.-G.J.Am.Chem.Soc.127,14415(2005).
3.Lopes,D.H.J.etalACSChem.Biol.10,1555(2015).
4.Lump,E;etalelife,4:e05397(2015).
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P36:Peripheralmembranebindingwithprotrudinghydrophobes
E.Fuglebakk*[1,2],N.Reuter[1,2]
[1]ComputationalBiologyUnit,UniversityofBergen,Norway
[2]DepartmentofMolecularBiology,UniversityofBergen,Norway
Manyimportantbiologicalprocessesoccurattheboundariesofcellsandorganelles,namelyatcellmembranes.Importantfunctionslikesignalling,recognition,traffickingandcelldivisioninvolveproteinsinteractingwithmembrane.Inalloftheseprocessesperipheralmembraneproteinsarefoundtoplayarole.Peripheralmembraneproteinsaresolubleproteinsthatbindthemembraneshallowlyandoftentransiently.Hencetheirsurfacearequitesimilartothoseofglobularsolubleproteins,andidentificationandrationalisationoftheirinterfacialbindingsitesisnotstraightforward.Wehavedefinedstructuralcharacteristicsthatfacilitatemembraneinteractiononperipheralproteins,andcomparedthesurfacesofperipheralmembraneproteinswithproteinsurfacesnotinteractingwithmembrane.Inparticularweuseacoarsegrainedrepresentationoftheproteinsurface,toidentifystructuralprotrusionsthatexposehydrophobicresidues.Ourstatisticalanalysisallowsustocomparethesurfacesofbindingandnon-bindingproteins,withoutknowingtheexactinterfacialbindingsiteoftheperipheralbinders.Thisallowsustoextendouranalysisbeyondthesmallsetofexperimentallyverifiedbindingsites,toalargesetofproteinsclassifiedasperipheralmembranebinders.Fromthisanalysiswecanconfidentlyconcludethatprotrudinghydrophobesareover-representedonperipheralmembranebinders,thattheytendtoclusterinpositionsthatareco-insertabletothemembrane,andthattheyarepreferentiallylocatedonbothexperimentallyverifiedbindingsites,andbindingsitespredictedbyothercomputationalapproaches.Wefindthatoursimplemodelisabletopartlyexplainthemembraneinteractionofmostknownperipheralmembranebinders.Thewellknownaliphatichelicesoninterfacialbindingsitesarespecialcasesofprotrudinghydrophobes,andwebelievethatourgeneralisationofthisconceptprovidesconditionsformembraneinteractionthatwillbeveryusefulforanyoneinterestedinunderstanding,predictingordesigninginterfacialbindingsitesonproteins.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P37:Fullinsilicofoldingofanamphipathichelixinthewater/membraneinterface
AmélieBâcle[1],LydieVamparys[1,2],JérémyEsque[3],GuillaumeDrin[4],CatherineEtchebest[2],PatrickFuchs*[1]
[1]Dynamiquedesmembranesettraficintracellulaire,InstitutJacquesMonod,CNRSUMR7592,UniversitéParisDiderot,SorbonneParisCité,15rueHélèneBrion,75013Paris
[2]INSERMUMR-S665,équipeDSIMB,UniversitéParisDiderot,SorbonneParisCité,InstitutNationaldeTransfusionSanguine,6rueAlexandreCabanel75739ParisCedex15,France
[3]Biocomputinggroup-StructuralBiology&GenomicsDept.–IGBMC,CNRSUMR7104-INSERMU964,1rueLaurentFries67404Illkirch-GraffenstadenCedex,France
[4]InstitutdePharmacologieMoléculaireetCellulaire,UMRCNRS7275,660,routedeslucioles,06560ValbonneSophia-Antipolis
Amphipathicalpha-helices(AHs)areubiquitousstructuralmotifsinlivingorganismsthathaveavarietyoffunctions.Forexample,AHsfromantimicrobial/venompeptidescanmakeporesinmembranes.PeripheralproteinscanreachspecificcellularcompartmentsthankstoAH(s)withintheirsequencethatselectivelysensespecificlipidcompositions.Usually,AHsaresolubleandunfoldedinwatermediaandgetfoldeduponbindingwithinthemembranewater/interface.Fromanenergeticpointofview,thisfoldingprocessplaysacrucialroleforthebindingaffinity,theselectivityofAHsformembraneandultimately,fortheirfunction.However,thisfoldingprocesshasbeensofarpoorlyunderstoodanddescribedattheatomisticlevel.Hereweusereplica-exchangemoleculardynamics(REMD)simulationstogetinsightsintotheinsertion/foldingofavenompeptide,Mastoparan-L,atthesurfaceofaflatphospholipidmembrane.Thisapproachallowsustoobservemanyhelixfolding/unfoldingeventswithexplicitatomicdetails.ThebindingofMastoparan-Lproceedssystematicallybypeptideinsertionwithinthemembranefollowedbyinterfacialhelixfolding.Thefoldingresultsfromanucleation/propagationmechanismgenerallyfromtheN-totheC-terminus.Furthermore,weevaluatetheenergeticcostofformingacavitywithinthelipidstoaccommodatethehelix.Thiscostconsiderablyslowsdownthefoldingkineticscomparedtothatinanaqueousenvironment.CDexperimentsofMastoparan-Linpresenceoflargeliposomesrevealahighhelicity,similartothatpredictedbyourREMD.Jointly,theseresultsindicatethatourREMDapproachissuccessfulforsimulatingthefullfoldingofanAHwithintheinterfaceenvironmentandgiveunprecedentedquantitativeresultsinagreementwithinvitroexperiments.OurworkpavesthewaytoabetterunderstandingofAHsselectivityforcellularmembranes,andshowsthatpredictinginsilicotowhichspecificmembranesanAHbindsiswithinreach.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P38:ModellingAmylinSelf-assembly
M.Christensen*[1,2],K.K.Skeby[1],B.Schiøtt[1,2]
[1]DepartmentofChemistry,UniversityofBergen,Norway
[2]InterdisciplinaryNanoscienceCenter,iNANO,AarhusUniversity,Denmark
AmylinisanamyloidpeptidethatformsstructureswithacytotoxicactivitythatdecreasethenumberofinsulinproducingcellsinpatientswithtypeIIdiabetesmellitus.Whilethenatureofthecytotoxicstructuresisunknown;matureamyloidfibrilsofhasbeenisolatedfromlivingtissueandnon-selective,membrane-perforatingporesofamylinhasbeenobservedinexperiments.Manyresearchersseektolearnaboutthesestructurestofindawaytoslowdownthedevelopmentofthedisease.Withall-atommoleculardynamicssimulationscombinedwiththeHighlyMobileMembraneMimiticModel(HMMM)withenhancedsamplingofmembranedynamics,wehaveinvestigatedthemembraneinteractionandself-assemblyofthispeptide.Thefocusisontheinitialself-assemblyofamylinpeptidesandhowlipidmembranescatalyzethetransformationfrommonomerstooligomers.Wehaveobservedtheshiftfromalpha-helicalmonomerstostablebeta-sheetcontainingassemblies.Withthiswehaveidentifiedregionsofthepeptidethatareimportantfortheinter-peptiderecognitionandforconnectingthepeptidesinbeta-sheets.Theseresultsfitswellwithpreviousexperimentalfindingandcanbeusedtoexplainexperimentalresultsinatom-detailedmodels,anditcaninspirefutureexperimentalandmodellingstudiesofthepeptide.
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ISQBPPresident’smeeting2016–19-22June
Topic:Protein-lipidinteractions
P39:Structuraleffectoftheinterfacialtensiononphospholipidsbilayerswollenbyneutrallipids
AmélieBâcle*[1],CathyJackson[1],StefanoVanni[2]andPatrickFuchs[1]
[1]MembraneDynamicsandIntracellularTrafficking,InstitutJacquesMonod,CNRSUMR7592,UniversitéParisDiderot,15rueHélèneBrion,75013Paris
[2]Dynamicsoflipidmembranesandproteincoats,InstitutdePharmacologieMoléculaireetCellulaire,CNRSUMR7275,SophiaAntipolis,660Routedeslucioles,06560Valbonne
Lipiddroplets(LD)areintracellularorganellesthathaveacentralroleinlipidmetabolismandimplicationindiseasessuchasobesityanddiabetes.LDshaveauniquearchitecture:aphospholipidmonolayerthatsurroundsaneutrallipidcorecomposedoftriacylglycerols(TAG)andcholesterylesters(CE)[1].SomeproteinsarerecruitedbothtoLDsandtoothercellularorganelles[2],whereasothersaretargetedspecificallytothesurfaceofLDs[3].Ithasbeenshownthatsomeoftheseproteinscouldbesensitivetoahighsurfacetension(ST),increaseintheareaperlipid,inreconstitutedLD[1].HowdosurfacepropertiesdifferbetweenamembraneandLD?HowdoestheLDsurfacerespondtoanincreaseST?Weperformedall-atommoleculardynamicssimulationsontrilayersystemsthatmimictheLDsurfacetoinvestigatethesurfacepropertiesofthisorganelle.Thetrilayerwascomposedofahydrated1-palmitoyl-2-oleoylphosphatidylcholine(POPC)bilayerswollenwithtrioleins(TO)betweenthetwoleaflets.SeveralsimulationswereperformedatdifferentSTbyincreasingtheareaperPOPC.Surfacepropertieswerecharacterizedintermsofpackingdefects(i.einterfacialvoidsatthemembrane-waterinterface).NodifferencewasobservedwithaPOPCbilayeratequilibrium.However,highSTpromotedtheinsertionofTOintothePOPCmonolayerandasignificantincreaseofpackingdefects.AthoroughanalysisofTOconformationsshowedtheirtrendtoexposetheirglycerolattheinterface(“trident”conformations).Takentogether,ourresultsprovideaquantitativemolecularunderstandingofhowSTinfluencestheLDsurface.OurworkconstitutesafirststeptowardscharacterizingthebehaviorandstructureofLDsurfacepropertiesandwillbeusefulforabetterunderstandingonhowsomespecificproteinsaretargetedtoLD.
[1]Thiametal.2013
[2]Bouvetetal.2013
[3]Bulankinaetal.2009
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ISQBPPresident’smeeting2016–19-22June
Table of Contents
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ISQBPPresident’smeeting2016–19-22June
Talks
T1 Prof.ModestoOrozco TheBarcelonaInstituteofScienceandTechnology
T2 Prof.BernardMontgomeryPettitt UniversityofTexasMedicalBranch
T3 Mr.MahdiBagherpoorHelabad FreeUniversityofBerlin
T4 LennartNilsson KarolinskaInstitutet
T5 Dr.VladCojocaru MaxPlanckInstituteforMolecularBiomedicine
T6 Prof.ThomasE.Cheatham UniversityofUtah
T7 Dr.JoannaTrylska UniversityofWarsaw
T8 Dr.FilipLankas InstituteofOrganicChemistryandBiochemistry
T9 Dr.CarmenDomene King'sCollegeLondon
T10 Dr.SymaKhalid UniversityofSouthampton
T11 Dr.StefanoVanni CNRS
T12 MichaelSchauperl UniversityofInnsbruck
T13 Prof.RebeccaC.Wade HeidelbergInstituteforTheoreticalStudiesandHeidelbergUniversity
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ISQBPPresident’smeeting2016–19-22June
T14 Prof.MartaFilizola IcahnSchoolofMedicineatMountSinai
T15 Prof.WiliamL.Jorgensen YaleUniversity
T16 Dr.DanielCappel Schrödinger
T17 Dr.ElsaSanchez-Garcia Max-Planck-InstitutfürKohlenforschung
T18 Prof.CarmayLim InstituteofBiomedicalSciences,AcademiaSinica
T19 M.Sc.SanjaZivanovic IRBBarcelona
T20 Dr.ChandraVerma A*Star,Singapore
T21 Prof.AlexanderD.Mackerell UniversityofMaryland
T22 Prof.CharlesL.Brooks UniversityofMichigan
T23 Dr.HimaBinduKolli UniversityofOslo
T24 Mr.IainABethune UniversityofEdinburgh
T25 Dr.ThomasGaillard EcolePolytechnique
T26 Dr.KwanghoNam UmeåUniversity
T27 Prof.XabierLopez EuskalHerrikoUnibertsitatea
T28 Prof.AnnickDejaegere EcoleSuperieuredeBiotechnologiedeStrasbourg
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ISQBPPresident’smeeting2016–19-22June
T29 Prof.CarolB.Post PurdueUniversity
T30 Dr.NatachaGillet KarlsruheInstituteofTechnology
T31 Mr.ThibaultTubiana I2BC/CNRS
Posters
P1 Dr.PatriciaSaenz-Mendez UniversityofGothenburg
P2 MajdaMisiniIgnjatovic LundUniversity
P3 Dr.HerveMinoux sanofi
P4 Mr.NicholasMichelarakis UniversityofOxford
P5 Ph.D.AliciaMerlino FacultaddeCiencias
P6 Dr.MariaLauraLavaggi UniversidaddelaRepublica
P7 MathewRKoebel St.LouisCollegeofPharmacy
P8 Mrs.BiancaCelidetPerezDeLucani AarhusUniversity
P9 Dr.AbirGanguly Max-Planck-InstitutfuerKohlenforschung,Muelheim
P10 Mr.IainABethune UniversityofEdinburgh
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ISQBPPresident’smeeting2016–19-22June
P11 Dr.SandhyaP.Tiwari RikenAdvancedInstituteforComputationalScience,Kobe,Japan
P12 Dr.PandianSokkar Max-Planck-InstitutfürKohlenforschung
P13 Dr.LarsSkjærven UniversityofBergen
P14 Prof.AlexanderD.Mackerell UniversityofMaryland
P15 JérômeEberhardt IGBMC
P16 Dr.AnnaReymer UniversityofGothenburg
P17 Mr.YossaDwiHartono KarolinskaInstitutet
P18 Dr.VladCojocaru MaxPlanckInstituteforMolecularBiomedicine
P19 CarolineSenac UPMCCNRSINSERM
P20 Mr.RaphaelPeltzer UniversityofOslo
P21 Mr.XujunLiang CEASACLAY
P22 Dr.NathalieBasdevant UniversityofEvry,France
P23 Mr.ThibaultTubiana I2BC/CNRS
P24 Dr.SofiaVasilakaki NationalandKapodistrianUniversityofAthens
P25 Dr.SandhyaP.Tiwari RikenInstitute,Kobe,Japan
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ISQBPPresident’smeeting2016–19-22June
P26 Dr.SophieSacquin-Mora LaboratoiredeBiochimieThéorique,CNRSUPR9080
P27 Mr.NicolasPanel ÉcolePolytechnique
P28 KlausRomanLiedl UniversityofInnsbruck
P29 Mr.StefanMilanovIvanov A*STAR,Singapore
P30 SigbjørnLølandBore UniversityofOslo
P31 Dr.OleJuulAndersen UniversityofOxford(AcademicVisitor)
P32 Ms.TaliaZeppelin AarhusUniversity
P33 Dr.QaiserWaheed UniversityofBergen
P34 Dr.TomVenken UniversityofBergen
P35 M.Sc.SumitMittal Max-Planck-InstitutfürKohlenforschung
P36 Dr.EdvinFuglebakk UniversityofBergen
P37 Dr.PatrickF.J.Fuchs UniversitéParisDiderot,CNRS
P38 Mr.MikkelChristensen AarhusUniversity
P39 Mrs.BacleAmelie InstitutJacquesMonod-CNRS
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ISQBPPresident’smeeting2016–19-22June