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Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis Department of Physics, University of Cyprus

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Relative Strength of Binding of Ligands in the Catalytic Site of Glycogen Phosphorylase, by MDFE calculations

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Page 1: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Thermodynamical Stability of Biomolecular Systems:

Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics

Georgios ArchontisDepartment of Physics, University of Cyprus

Page 2: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Overview

• Relative Binding Strength to Glycogen Phosphorylase of Catalytic-site inhibitors,by MDFE calculations.

• Dinucleotide inhibitor binding to Ribonuclease A by MD/PB calculations.

• A continuum electrostatics/linear response method to calculate pKa shifts in proteins.

Page 3: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Relative Strength of Binding of Ligands in the Catalytic Site of

Glycogen Phosphorylase,by MDFE calculations

Page 4: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis
Page 5: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

P

P

Gpa, active Gpb, inactive

Gpb, activeGpa, inactive

Kinase

Phosphatase

Glucose Glucose-6-PAMP

Regulation of Glycogen Phosphorylase (simplified)

Page 6: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Interactions of Glucose with Catalytic Site

Page 7: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Interactions of Hydantoin with Catalytic Site

Page 8: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

The Simulation System

R

R = H HYDANR = CH3 MHYDANR = NH2 NHYDAN

Ligand Structure

Page 9: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Technical Details

• Dual topology.• Linear Dependence of Hamiltonian on λ.• Fitting of van der Waals Free Energy

Derivatives to a power law ~λ-3/4 at end points.

Page 10: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Summary of Free Energy Runs

Run # DG vw elecProteinHM 1 10.5 8.7 1.8

2 8.0 6.5 1.53 7.4 5.7 1.7

Average 8.6 ± 2.0

SolutionHM 1 4.9 3.8 1.1

2 4.8 3.7 1.1Average 4.85 ± 0.05ΔΔG 3.75 Exp: 3.6

Page 11: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Summary of Free Energy Runs

Run # DG vw elecProteinHN 1 1.5 4.6 -3.1

2 1.6 3.2 -1.6HH’N 1.75 1.1 0.55Average 1.65 ± 0.95

SolutionHN 1 0.5 2.0 -1.5

2 0.8 2.3 -1.5Average 0.65 ± 0.15ΔΔG 1.0 Exp: 2.3

Page 12: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Left: Interaction of the HYDAN ring with the catalytic site residues, observed in the simulations.

D283N284

E88G134

W200W176

N1

H377

H377

Right: Typical MD snapshot of the M-HYDAN: GP complex. W176 ismost of the time displaced by ~1 A and interacts with E88.

Interactions of GP with HYDAN/MHYDAN

H377

G134 E88

W176

W200

D283N284

N1

M-HYDAN

Page 13: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

D283W176

E88

G134

N284

H377

N-HYDANN1

Right: Typical MD snapshot of the N-HYDAN:GP complex. As in M-Hydan, W176 is most of the time displaced by ~1 A and interacts with E88.

Interactions of GP with N-HYDAN

Page 14: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Van der Waals Free Energy derivatives

H M

H M

λ=0.06

Log(dF/dλ)

Page 15: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

a) H M b) H N Components: vw elec vw elec Runs: 1 2 3 1 2 3 1 2 1 2------------------------------------------------------------------------------------------------D283 8.0 8.0 6.6 2.6 2.5 2.5 6.0 4.7 0.2 0.4W176 4.3 3.2 2.8 0.3 0.1 0.1 2.2 2.2 0.8 0.4W200 0.6 1.1 0.7 -0.1 -0.1 0.0 0.3 0.7 -0.7 -0.5N284 -0.4 -0.8 -0.4 0.3 0.1 0.1 -0.7 -0.5 0.1 0.2 G135 -0.4 -0.6 -0.7 -0.1 0.1 -0.1 -0.8 -0.6 0.0 0.1----------------------------------------------------------------------------------------------------Sum: 8.7 5.8 5.7 1.8 1.5 1.7 4.6 3.2 -3.1 -1.6a) H M: Residue D283 opposes the creation of the M methyl group, due to steric interference and loss of electrostatic interactions, as shown by the large vw and elec components. Water W176 also opposes the transformation, mainly due to steric repulsion. Other, more distant residues favor the M state mainly due to improveddispersion interactions. b) H N: Replacement of the HYDAN proton by the NH2 group introduces steric interference mainly with D283 and W176. Electrostatic interactions are improved, but mainly with distant residues.

Residue Free Energy Decomposition of G ( in protein )

Page 16: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Superposition of MD structures of the various ligands in the GP Catalytic site

Page 17: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Free Energy Profile for W176 (Asp283 Glu88)

D283 E88

HYDAN

MHYDAN

HYDAN MHYDAN

Page 18: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Conclusions

• The experimental relative binding order of hydantoin inhibitors is reproduced by MDFE calculations.

• Interactions between HYDAN and GP or water residues in the catalytic site are optimal.

• Introduction of CH3 or NH2 causes steric interference , that mostly accounts for the reduced binding strength of M- and NHYDAN relative to the best inhibitor (HYDAN).

Page 19: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Free Energies of Binding between Ribonuclease A and dinucleotide inhibitors, evaluated by MD/PB

schemes

Page 20: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Recognition Subsites in the RNAse A Active Site

Page 21: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Putative catalysis mechanism by RNAseARaines & co/rs, Biochem. 40:4949 (2001)

Page 22: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

RNAse inhibitors considered in this work

dUppA (deoxyuridine-3-pyropho-sphate (P->5) adenosine)

pdUppAp (5΄-phospho-3΄-deoxyuridine 3-pyrophosphate (P->5) adenosine 3-phosphate)

PD

PB PAPG

PB PA

Page 23: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Typical interactions between pdUppAp and surrounding protein residues, observed in the MD simulations

PD

PBPA PGHIS12

HIS119

GLN11 LYS7

Page 24: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Typical interactions between dUppA and surrounding protein residues, observed in the MD simulations

PB PA

HIS12

HIS119

LYS7GLN11

Page 25: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

RNAse complex with pdUppAp

Page 26: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

In a standard PB binding calculation, the protein and ligand are assumed to have the same conformation in the biomolecul-ar complex (left) and in the infinitely separated, solvated states (right). The binding free energy is obtained by

G*bind = G*

pl – G*p – G*

l

+

G*p + G*

lG*pl

Standard scheme to calculate Binding Free Energies by PB

P* L* P* L*

Page 27: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Binding Free Energies evaluated by the standard scheme(a, b).

L i g a n dεprot pdUppAp(c) dUppA (c) Diff (d) ----------------------------------------------------------------

1.0 -39.6 -23.3 +16.3 2.0 -28.1 -17.5 +10.6 4.0 -22.1 -14.3 +7.8

8.0 -18.7 -12.3 +6.4 16.0 -16.6 -10.8 +5.820.0 -16.0 -10.4 +5.6

----------------------------------------------------------------(a) Experimental Km values are 27 nM (dpUppAp) and 11.3 μM (dUppA),corresponding to a ΔΔG = 3.6 Kcal/mol. (b) All energies in Kcal/mol;(c) Binding energies averaged over 200 structures taken from a 4-ns simulation. (d) Binding free energy relative to the RNAse:pdUppAp complex.

At values of εprot used typically in PB binding calculations (2.0 - 4.0), dUppA is predicted to bind more weakly by 10.6 - 4.9 Kcal/mol.

Page 28: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Expanded scheme to calculate Binding Free Energies by PB

Upon dissociation, thesystem is allowed to relaxto equilibrium structuresof the separated states.(step 2).

+P L

Gbind = G*bind +G2

+1

2

P* L* P* L*

G*bind

G2

Page 29: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Thermodynamic cycle used to calculate PB binding energies in the

expanded scheme

Infinite HomogeneousMedium (ε solv=εprot=ε)

ΔGbind = 1 + 5 = 1 + 2 + 3 + 4

P*:L1* P* + L1* P + L1

P* + L1* P + L1

1

2

3

4

5

Standard scheme

Solution(εsolv=80;εprot=ε).

Page 30: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Binding Free Energies evaluated by the expanded scheme(a).

L i g a n dεprot pdUppAp (b) dUppA (b) Diff (c)

----------------------------------------------------------------- 1.0 -3456.2 -3458.2 -2.0 2.0 -1716.7 -1715.2 +1.5 4.0 -847.8 -844.2 +3.6 8.0 -414.0 -409.6 +4.4

16.0 -198.2 -193.2 +5.0 20.0 -155.7 -150.4 +5.3 -----------------------------------------------------------------

(a) Experimental Km values are 27 nM (pdUppAp) and 11.3 μM (dUppA),corresponding to a ΔΔG = 3.6 Kcal/mol. (b) Binding energies averaged over 200 structures taken from a 4-ns simulation; (c) Binding free energy relative to the RNAse:pdUppAp complex.At values of εprot used typically in PB binding calculations (2.0-4.0), dUppA is predicted to bind more weakly by 1.5 – 3.6 Kcal/mol.

Page 31: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Conclusions

• PB/MD calculations, averaged over multi-ns trajectories can predict correctly the order of binding of dinucleotide inhibitors to RNAse.

• Accuracy is improved when the relaxation of protein and ligands after dissociation is included.

Page 32: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

A method to calculate pKa shifts in proteins.

Calculations with Continuum Electrostatics and Linear Response

Page 33: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Thermodynamic Cycle for pKa shift

P-RH P-R- + H+

R- + H+RH

(1)

(2)

ΔΔG = ΔG1 – ΔG2

pK a, prot – pK a, model = 1/(2.303 kBT)*ΔΔG

Page 34: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Calculation of Ionization Free Energies

Two-step Procedure to Calculate Charge Insertion Free Energies (Marcus, 1956)

I : Insert q with environment fixed: ΔGx, stat = q Vx q

II: Allow environment to relax: ΔGx, stat = ½ q Vx, q q

q q

I II

“Reactant” State “Product” State

Gstatic Grelax

Page 35: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Static Free Energy

ΔGx, stat = q Vx q

(Average Interaction Energy between q and restof the system, at equilibrium state x)

Relaxation Free Energy

ΔGx, stat = ½ q Vx, q q

(Born self-energy of inserted charge)

Page 36: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

q q

I II

Greac, static Greac, relax

ΔG = ΔGreac, stat+ ΔGreac, relax (1)

q

II I

ΔG’ = -ΔG = ΔGprod, stat+ ΔGprod, relax (2)

Gprod, relax Gprod, static

Page 37: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

2ΔG = (ΔGreac, stat- ΔGprod, stat) + (ΔGreac, relax - ΔGprod, relax)

= q(Vreac, stat - Vprod, stat)

ΔG = ΔGreac, stat+ ΔGreac, relax (1)

-ΔG = ΔGprod, stat+ ΔGprod, relax (2)

(Linear Response)= 0

ΔG = q/2 (Vreac, stat - Vprod, stat)=1/2 (ΔGreac, stat- ΔGprod, stat)

Average Electrostatic Energy over reactant and product

Page 38: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Application

• Thioredoxin Asp26 (pKa = 7.5; ΔΔGexp = 4.8)

• Thioredoxin Asp20 (pKa = 4.0; ΔΔGexp = 0)

• RNAse A Asp14 (pKa = 2.0; ΔΔGexp = -2.7)

Page 39: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

A. Αsp26 (Thioredoxin) # of waters ΔΔG 0 1 MDFE (CHARMM)½(ASPH+ASP) 4.7 5.1 10.9¼ (ASPH+2*Mid+ASP) 10.2 4.8 Exp: 4.8 B. Asp14 (Rnase A)½(ASPH+ASP) -3.9 -- 1.1¼ (ASPH+2*Mid+ASP) -3.8 Exp: -2.7 • Averages over 100-200 structures, spanning ~ 4-6 ns• Protein dielectric constant ε = 1

Page 40: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Static Step Free Energies A. Αsp26 (Thioredoxin)

# of explicit waters State 0 1 ASPH -28.7 -6.9ASP -95.5 -116.6Midpoint -50.5 -61.8½(ASPH+ASP) -62.1 -61.7¼ (ASPH+2*Mid+ASP) -56.3 -61.8

B. Model CompoundASPH 6.0ASP(-) -139.6Midpoint -66.4½(ASPH+ASP) -66.8¼ (ASPH+2*Mid+ASP) -66.5

Page 41: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

C. Αsp20 (Thioredoxin) ΔΔG MDFE (CHARMM)

½ ( reac + prod ) 5.5 0.9

Midpoint 5.9

¼ (reac + 2*midpoint + prod) 5.7 Exp: 0.0

•Continuum Assumption.•Equilibrium structures consistent with MD force-field.

Page 42: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Conclusions

• PKa shifts can be calculated with a continuum electrostatics/LR method.

• Averaging over end-states accounts for structural reorganization upon titration.

• Optimal Protein dielectric constant for static calculation ε ~1.

• Relaxation Free Energies require a different dielectric constant (optimal values, ε ~2-6).

Page 43: Thermodynamical Stability of Biomolecular Systems: Insights from Molecular Dynamics Free Energy Simulations and Continuum Electrostatics Georgios Archontis

Acknowledgements

• Glycogen Phosphorylase– Dr. Qian Xie (MDFE, University of Cyprus). – Dr. Nikos Oikonomakos (x-ray, NHRF, Greece).

• Ribonuclease A– Dr. Demetres Leonidas (x-ray, NHRF, Greece).

• pKa work– Thomas Simonson (MDFE/CHARMM, Ecole

Polytechnique).• University of Cyprus ($).