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    Peter Fajer Biophysical Methods in Biology Lecture 10

    Ligand Binding

    Consider ligand Abinding to macromolecule P:

    A P AP+ [1]

    Equilibrium constant is defined as:

    [ ] [ ]

    [ ]K

    P A

    PAd

    = [2]

    (note that Kdis often referred wrongly as binding constant: Kb= 1/Kd)

    define fractional occupancy (moles of ligandmole of macromolecule) r:

    [ ]

    [ ]

    [ ]

    [ ] [ ]r

    A

    P

    PA

    P PA

    bound

    total

    = =+

    [!]

    substitute [P][A]/Kd for [PA]:

    [ ][ ]

    rA

    K Ad

    =

    +

    ["]

    this hyperbolic dependence is called binding isothermor (Langmuir isotherm)#

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    binding isotherm

    $

    $#2

    $#"

    $#%

    $#&

    1

    1#2

    $ ' 1$ 1' 2$ 2'

    [A]

    r

    d1

    d'

    d'

    d1$

    *ote that although the isotherm has the concentration for free ligand [A]as well as bound ligand([+]boundin r) you ha,e to measure only one (bound or free) because conser'ation o( mass the totalligand [A]total= [A]+[PA](and total macromolecule [P]total= [P]+[PA])#

    -easure the concentrations of free or bound ligand by ,ariety of methods: chromatography.equilibrium dialysis. ultrafiltration. spectroscopy#

    Multiple binding sites

    -acromolecule can ha,e more than one site for binding the ligand# /hese sites can be independent:binding of one ligand does not influence binding of the ne0t. or cooperative(binding of one affectsbinding of another)#

    Independent

    A P A P A P+ + +1 2 ....... [']

    identical sites: +1+2 or

    different sites: +1+2

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    Identical sites

    macromolecule

    site 1

    site 2

    all sites are independent and identical so that total number of sites is n[P]totalrather than [P]total:

    [ ]

    [ ]AK

    Annrr

    d

    siteglesitesall+

    ==_sin_ [%]

    Scatchard plot

    plot the ratio of r/[A],ersus r:

    [ ]

    r

    A

    n

    K

    r

    Kd d

    = [&]

    or identical binding this results in a linear plot# 3e,iation from linearity implies non4identical sites#

    r

    r/[A]

    Dierent sites

    to be ,ery general: each class of sites with different Kdican ha,e niidentical sites

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    macromolecule

    site class 1

    site class 2

    /he binding isotherm is a sum of the single binding isotherms. each corresponding to different class ofsites:

    [ ]

    [ ]

    [ ]

    [ ]r r r

    n A

    K A

    n A

    K Ad d

    = + + =

    +

    +

    +

    +1 2

    1

    1

    2

    2

    ..... ........, ,

    [5]

    !ooperati"it#

    6inding to one site on a molecule modulates binding of another#

    or strong cooperati,ity. binding of one ligand triggers binding to n sites:

    PAPnAn

    + [7]

    [ ] [ ][ ]PA

    APK

    n

    n

    d = [1$]

    [ ]

    [ ]

    [ ]

    [ ] [ ][ ]

    [ ] nd

    n

    n

    n

    total

    bound

    AK

    An

    PAP

    PAn

    P

    Ar

    +

    =

    +

    == [11]

    or measure the ratio of filled sites$ %$=r/n&to the unfilled sites (1'$):

    [ ]

    d

    n

    K

    A

    rn

    r

    Y

    Y=

    =

    1[12]

    *ill+s e,uation)

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    (ill)s Plot

    lot log%$/%1'$& "* log[A]. the slope is n8 an intercept is 1/Kd#

    no cooperati"it# n=1

    negati"e cooperati"it# n=+*,

    positi"e cooperati"it# n=-

    log [+]

    log[r(n4r)]

    Kinetics

    /ime course of reaction. 9inetics gi,e information about the rates rather than equilibria# f courserates and equilibria are related Keg= .+1/.'1. howe,er the ratio of rates tells us nothing about the ,alueof each rate i#e# is it fast or is it slow#

    /wo sorts of 9inetics are usually considered:

    stead#'state: in which the forward flu0 bac9ward flu0 resulting in no change of concentration8

    transient .inetics: non4equilibrium 9inetics when concentrations are changing#

    steady-state (Michaelis-Menten)

    E S X E Pk

    k

    k

    k

    + +

    1

    1

    2

    2

    [1!]

    for a reaction with an intermediate the rate of intermediate;s production is equal to that of itsdisappearance:

    [ ]( ) [ ] [ ] [ ] [ ] [ ] = + =

    d X

    dt k k X k E S k E P 1 2 1 2 0

    [1"]

    /he rates of substrate disappearance and the appearance of the product are identical:

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    [ ] [ ][ ][ ] [ ] = =

    d S

    dt

    d P

    dt k E S k X

    1 1[1']

    rom mass conser,ation we ha,e:

    [ ] [ ] [ ]

    [ ] [ ] [ ]

    E E X

    S S P

    o

    o

    = +

    = +

    [1%]

    +t the beginning of the reaction:

    [ ]P = 0 [15]

    thus the initial ,elocity "can be sol,ed since we ha,e fi,e equations with " un9nowns (concentrationsof E. e that initial ,elocity is a ma0imum ,elocity reduced by the partial en>ymeoccupancy. i#e#:

    v rV=max [1&]

    then substitute "for rin the equation for Langmuirisotherm#)

    t0rno"er

    kV

    Ecat

    o

    = max

    [17]

    non'stead# state

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    E S Xk

    k

    + 1

    1

    1[2$]

    the rate equations are:

    [ ] [ ] [ ][ ] [ ] [ ] = = =

    d E

    dt

    d S

    dt

    d X

    dt k E S k X

    1

    1 1 1[21]

    with two mass con,ersation relationships:

    [ ] [ ] [ ]

    [ ] [ ] [ ]

    E E X

    S S X

    o

    o

    = +

    = +

    1

    1

    [22]

    /he differential (rate) equation can be sol,ed but it is a mess since the equation is non4linear (the ratedepends on product of [E] and [

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    Peter Fajer Biophysical Methods in Biology Lecture 10

    the rate of en>yme disappearance is:

    [ ][ ] [ ] [ ] =

    d E

    dt k E S k X 1 1 1

    [25]

    the rate of product appearance is:

    [ ][ ] [ ] =

    d X

    dt k X k X

    2

    2 2 2 1[2&]

    +t this point you are ad,ised to gi,e up# @hat you ha,e is the set of simultaneous/ nonlineardi((erential e,uationswhich e,en your grandma can;t sol,e#

    6ill Aates to the rescue8 integrate the set using a C and any mathematical pac9age with n0mericalintegrationroutines e#g# -athcad. -athematica. -atlab#

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