Solvation (Condensed Phase) Modelspollux.chem.umn.edu/8021/Lectures/Solvation_11.pdfSolvation...
Transcript of Solvation (Condensed Phase) Modelspollux.chem.umn.edu/8021/Lectures/Solvation_11.pdfSolvation...
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Solvation (Condensed Phase) Models
Chemical Phenomena
Video VI.i
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WhatCondensedPhasesareImportant?
• Homogeneousliquidsolu8onsarethemostcommoncondensedphasesfoundinexperimentalchemistry.We’llfocusonthese,butmakeconnec8onstoothers
• Solids• Surfaces• Liquidcrystalsolu8ons• Supercri8calfluids• Membranes• Note,incertaininstances,thefinelinebetweenacondensed
phaseandasupermolecularcomplex
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WhyisSolva8onImportant?
• Condensed-phase properties depend on the condensed-phase wave function, and <Ψgas|A|Ψgas> may be very different from <Ψsol’n|A|Ψsol’n>
• Interactions between two (or more) molecules in solution depend on partial desolvation of each
• Potential energy hypersurfaces (and hence kinetics and equilibria) may be quantitatively and qualitatively different in solution by comparison to the gas phase
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SolvatochromismofDyeET30(S1–S0)
N
O
+
–
Solvent Color λmax, nmanisole yellow 769 acetone green 677
2-pentanol blue 608 ethanol violet 550
methanol red 515
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E(g) + S(g) E•S(g)
E•S(s)E(s) + S(s)
∆GoS(S)
∆Gog
∆GoS(E•S)
∆Goaq
∆GoS(E)
Enzyme–Substrate Interactions
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RelatedPoten8alEnergySurfaces
E
gas-phasesurface
solvatedsurface
(x,y)
ΔGoS(x,y)
Equilibrium constants fromdifferences in energy of local
minima
Rate constants from differences in energy of
connected local minima and saddle points
€
ΔGSo A( ) = lim
A[ ]→0−RT ln
A[ ]solA[ ]gas eq
%
&
' ' '
(
)
* * *
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PESSlice—TheMenschutkinReac8on
H
CH H
ClH3N
gasphase
aqueoussolution
NH3 + CH3Cl H3NCH3+ + Cl–
∆Gsolv(reactants)G ∆Gsolv(products)
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TheGenericFree-EnergyCycle
E
arbitrary coordinate
ΔGo,rxngas
ΔGo,rxnsol
ΔGo,‡gas
ΔGo,‡sol
ΔGSo(R)
ΔGSo(‡)
ΔGSo(P)
‡R P
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ExplicitandImplicitSolventModeling:TwoAlterna8veApproaches
• Explicitsolventmodelingisconceptuallyobvious:addlotsofsolventmoleculesandcomputebluecurveonlastslide
• Implicitsolventmodelingismoresubtle:forgetaboutmolecularrepresenta8onofsolvent;computegas-phasecurvebyonemethod,thencomputefreeenergiesofsolva8onatpointsofinterestbyadifferentmethod(thiscanactuallybedoneinablue-curvefashiontoo,butthesolventremainsimplicit)
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(Equilibrium) Free Energy of Solvation
ΔGoS
= ΔG ENP + Go
CDS
SOLVENT DEPENDENCE
"#$E ⇒ Electronic Energy
N ⇒ Nuclear RepulsionP ⇒ Solute-Solvent Polarization
Solvent Dielectric
"#$C ⇒ Cavitation
D ⇒ DispersionS ⇒ Structural etc.
Other Solvent Properties(alsocalled“non-electrosta8c”component)
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Solvation (Condensed Phase) Models
Explicit Solvent—Atomistic Analysis
Video VI.ii
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SomeRulesforExplicitSolventModeling
• Rule 1: It takes a lot of solvent molecules to look like a solution. Put differently, clusters only tell one about clusters.
• Consequence: Quantum mechanics is very, very expensive (although use of Car-Parinello approach is ongoing). Instead, molecular mechanics (i.e., force field) approaches tend to be used for at least some of the system.
• Tools: Periodic boxes or Ewald sums to limit system size. QM/MM implementations.
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ButItIsThere!SolventDensityAnalysis
Nagan,etal.J.Am.Chem.Soc.1999,121,7310.
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ButItIsThere!SolventDensityAnalysis
Nagan,etal.J.Am.Chem.Soc.1999,121,7310.
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ButItIsThere!SolventDensityAnalysis
Nagan,etal.J.Am.Chem.Soc.1999,121,7310.
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SomeRulesforExplicitSolventModeling
• Rule 2: Equilibrium properties (e.g., free energies) require averaging over phase space.
• Consequence: Sampling phase space becomes a key issue. Brute force is impossible in a real system. Free energy convergence can be very slow.
• Tools: Monte Carlo or Molecular Dynamics sampling until apparent (ergodic) convergence. More robust if multiple trajectories are run from different starting points.
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Integra8ngoverPhaseSpace
€
Ξ =Ξ r( )P r( )dr
PS∫P r( )dr
PS∫Expectation values (whether quantum or classical) are dictated by the relative
probabilities of being in different regions of phase space
€
P r( ) = e−E q,p( ) / kBT Q = P r( )drPS∫
Difficulty: Phase space is 6N-dimensional. If you only want to sample all possible combinations of either positive or negative values for each coordinate (i.e., hit every
“hyperoctant” in phase space once), you need 26N points!
Key point: Don’t waste time evaluating Ξ(r) if P(r) is zero.
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MC/MDProvidesReadyAccesstoManyProper8esinSolu8on
• Averagestructures(withstandarddevia8ons);notethatthesestructuresmaybedeterminedwithconstraintsimposed(e.g.,fromNMRNOEmeasurements)
• Allkindsofquantummechanicalproper8es(albeitusuallyaveragedoverfewersnapshotsthantheen8retrajectory)
• Structuraldetailsassociatedwiththesolva8onshell(typicallyNOTavailablefromimplicitmodels)
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RadialDistribu8onFunc8on
g
r
0
1€
1VgAB r( ) =
1NA • NB
δ r − rAiBj[ ]j=1
NB
∑i=1
NA
∑
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Solvation (Condensed Phase) Models
Explicit Solvent—Free Energy Perturbation
Video VI.iii
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Integra8ngoverPhaseSpace
€
Ξ =Ξ r( )P r( )dr
PS∫P r( )dr
PS∫Expectation values are dictated by the relative probabilities of being in different
regions of phase space
€
P r( ) = e−E q,p( ) / kBT Q = P r( )drPS∫
Difficulty: Phase space is 6N-dimensional. If you only want to sample all possible combinations of either positive or negative values for each coordinate (i.e., hit every
“hyperoctant” in phase space once), you need 26N points!
Key point: Don’t waste time evaluating Ξ(r) if P(r) is zero.
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WhatAboutFreeEnergyastheAverageProperty?
€
A = kBT ln1Q
= kBT lneE q,p( ) / kBTe−E q,p( ) / kBT dqdp∫∫
e−E q,p( ) / kBT dqdp∫∫
$
%
& &
'
(
) )
= kBT ln eE q,p( ) / kBT∫∫ P q,p( )dqdp$
% & '
( )
= kBT ln eE / kBT
€
A B − A A = kBT ln eEB / kBTB− kBT ln eEA / kBT
A
= kBT ln 1MB
eEi / kBT
i
M B
∑$
%
& &
'
(
) ) − kBT ln 1
MAeEi / kBT
i
M A
∑$
%
& &
'
(
) )
HorrifyinglyslowlyconvergentfortwostructuresAandBbecausesamplingproceduresaredesignedtosamplepredominantlylow-energypoints,buthigh-energypointscontributeexponenDallymoretosum.
1
Q
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ATrickWiththeIntegral
€
AB − AA = kBT ln QAQB
= − kBT ln QBQA
= −kBT lne−EB q,p( ) / kBT dqdp∫∫e−EA q,p( ) / kBT dqdp∫∫
$
%
& &
'
(
) )
= −kBT lne−EB q,p( ) / kBT eEA q,p( ) / kBTe−EA q,p( ) / kBT$
% & '
( ) dqdp∫∫
e−EA q,p( ) / kBT dqdp∫∫
$
%
& & & &
'
(
) ) ) )
= −kBT lne−EB q,p( ) / kBTeEA q,p( ) / kBT$
% & '
( ) e−EA q,p( ) / kBT dqdp∫∫
e−EA q,p( ) / kBT dqdp∫∫
$
%
& & & &
'
(
) ) ) )
= −kBT ln e− EB q,p( )−EA q,p( )[ ] / kBT∫∫ P q,p( )dqdp$
% &
'
( ) = −kBT e− EB−EA( ) / kBT
A
Thus,samplingovercoordinatesforA,determineexponenDalofenergydifferencebetweenAandB.Simplerbecauseonlyasingleensemble,butwhatifsampleoverAisnotergodicforB?
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HowCanWeEnsureThatAandBAre“Similar”?
e.g.,HCNvs.HNC
r
r
HA HB
HC
HDHAHD
HBHD
€
A B − A A = −kBT ln e− EB−EA( ) / kBT
A
€
ΔEHD=
aHHrHBHD
12 −bHHrHBHD
6 +qHB
qHD
εrHBHD
%
& ' '
(
) * * −
aHHrHAHD
12 −bHHrHAHD
6 +qHA
qHD
εrHAHD
%
& ' '
(
) * *
€
E λ( ) = λEB + 1− λ( )EA FreeEnergyPerturbaDon
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HowCanWeEnsureThatAandBAre“Similar”?
e.g.,HCNvs.HNC
r
r
HA HB
HC
HDHAHD
HBHD
€
E λ( ) = λEB + 1− λ( )EA
€
ΔEHD= 0.05 aHH
rHBHD
12 −bHHrHBHD
6 +qHB
qHD
εrHBHD
%
& ' '
(
) * * + 0.95
aHHrHAHD
12 −bHHrHAHD
6 +qHA
qHD
εrHAHD
%
& ' '
(
) * *
−aHHrHAHD
12 −bHHrHAHD
6 +qHA
qHD
εrHAHD
%
& ' '
(
) * *
= 0.05 aHHrHBHD
12 −bHHrHBHD
6 +qHB
qHD
εrHBHD
%
& ' '
(
) * * −
aHHrHAHD
12 −bHHrHAHD
6 +qHA
qHD
εrHAHD
%
& ' '
(
) * *
+
, - -
.
/ 0 0
FreeEnergyPerturbaDon
€
A B − A A = −kBT ln e− Eλ+dλ −Eλ( ) / kBT
λλ=0
1∑
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MonitoringtheAlchemicalChange
ΔG
λ0 1
Hysteresisisanother
Differencebetween
forwardandreverseisonemeasureof
error
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Computa8onalAlchemy
E(g) + S(g) E•S(g)
E•S(s)E(s) + S(s)
ΔGoS(S)
ΔGog
ΔGoS(E•S)
ΔGoaq(1)
ΔGoS(E)
E•S´(s)E(s) + S´(s)
ΔΔGoS ΔΔGo
S
ΔGoaq(2)
0
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Computa8onalAlchemy
NotethatperturbaDontonothing(annihilaDon)isallowed,althoughsomecaremustbetakenforsodrasDcaperturbaDon.
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Solvation (Condensed Phase) Models
Implicit Solvent—Electrostatics
Video VI.iv
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SomeRulesforImplicitSolventModeling
• Rule 1: If one replaces the solvent molecules with a continuum dielectric (an equilibrium averaging, in essence) one is left with a system no “larger” than the solute.
• Consequence: All solvent-structural information is lost, but if one can afford QM for gas phase, one can afford QM for solution. Polarization now arises from first principles (self-consistent reaction field—SCRF—induced in the medium).
• Tools: Numerous methods to solve or approximate the Poisson equation for continuous or discrete charge representations.
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SomeRulesforImplicitSolventModeling
• Rule 1: If one replaces the solvent molecules with a continuum dielectric (an equilibrium averaging, in essence) one is left with a system no “larger” than the solute.
• Consequence: All solvent-structural information is lost, but if one can afford QM for gas phase, one can afford QM for solution. Polarization now arises from first principles (self-consistent reaction field—SCRF—induced in the medium).
• Tools: Numerous methods to solve or approximate the Poisson equation for continuous or discrete charge representations.
€
G = −12
ρ r( )∫ φ r( )dr
€
∇ε r( ) •∇φ r( ) = −4πρ r( )
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Solvent-inducedPolariza8on
€
ΔGENP = ΨS H +12V ΨS( )ΨS
SCRFoperator
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Polariza8onExample—Nitroaroma8cRadicalAnion
Br
NH2
NO2
NO2
[ H ] Br
NH2
NH2
NO2
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Conduc8ngSphere(Ion)Example
Spherecarrieschargeqandhasradiusα.Chargedistribu8ononaconduc8ngsphereisPoten8aloutsidesphereis
€
ρ s( ) =q
4πα2, s on surface
€
φ r( ) = −qε r
Thus,solvingfortheworkofchargingrequiresintegra8ngonlyoverthesurfaceofthesphere:
G = −12
ρ s( )S∫ φ s( )ds
=12
q4πα 2S∫
qεα
ds
=12q2
εα
andthefreeenergyofpolariza8onGPisthedifferenceintheworkofcharginginsolu8on(ε≠1)andthegasphase(ε=1)
€
GP = −12
1−1ε
$
% &
'
( )
q2
αtheBornequa8on
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DipoleinaSphereExample(Kirkwood-Onsager)
Spherecarriesdipoleµatcenterandhasradiusα.Analogousanalysisleadsto
ThisleadstotheSchrödingerequa8on:
€
H −12
2 ε −1( )2ε +1( )
$
% & &
'
( ) )
ΨµΨ
α3 µ, - .
/ .
0 1 .
2 . Ψ = EΨ
whichisvaria8onallyminimizedbyaSlaterdeterminantformedfromsolvatedorbitalsthatareeigenfunc8onsof:
€
Fi −2 ε −1( )2ε +1( )
$
% & &
'
( ) )
ΨµΨ2
α3
,
- .
/ .
0
1 .
2 . ψi = εiψi
Notethatthesolvatedorbitalsandassociatedeigenvalueswillbedifferentthantheirgas-phasecounterparts
SCRF
€
GP = −12
2 ε −1( )2ε +1( )
$
% & &
'
( ) )
µ2
α3
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SomeRulesforImplicitSolventModeling
• Rule 2: A continuum dielectric is a fiction, so it is best not to get too caught up in theoretical rigor (ΔGENP is not even a physical observable…)
• Consequence: Construction of the dielectric cavity and/or methods for solving or approximating the Poisson equation can vary significantly from one model to the next.
• Tools: Parameterization just as important as for force-field models (even if occasionally it is stealth-parameterization).
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Cavi8esandTheirFillingsIdealCavi8es
solute
εReaction Field
Spheres and ellipsoids: Permit analytic solution of Poisson equation for interior charge expressed as multipole expansion
Chargeinasphere:Bornequa8on
€
ΔGP = −121− 1
ε
%
& '
(
) * q2
α
qischargeandαisradiusofcavitysphere
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µisdipolemomentandαisradiusofcavitysphere;
requiresSCRFsincerelaxa8onofΨaffects
µ
€
ΔGP = −122 ε −1( )2ε +1( )
%
& '
(
) *
µ2
α 3
Dipoleinasphere:Kirkwood-Onsagerequa8on
Cavi8esandTheirFillingsIdealCavi8es
solute
εReaction Field
Spheres and ellipsoids: Permit analytic solution of Poisson equation for interior charge expressed as multipole expansion
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Missoluteorreac8onfieldmul8polemoment(orderl
componentm)andfisa“reac8on-field
factor”
€
GP = −12
Mlm
# m =− # l
# l
∑# l =0
L
∑m =−l
l
∑l =0
L
∑ fl # l m # m M # l
# m
Anynumberofmul8polesinasphereorellipse:RivailandRinaldi
Cavi8esandTheirFillingsIdealCavi8es
solute
εReaction Field
Spheres and ellipsoids: Permit analytic solution of Poisson equation for interior charge expressed as multipole expansion
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Cavi8esandTheirFillingsIdealCavi8es
Spheres and ellipsoids: Permit analytic solution of Poisson equation for interior charge expressed as multipole expansion
Butsuchcavi8estendtobeveryunrealis8cforarbitrarilyshapedmolecules
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Con8nuousdistribu8on:PCM
(MST)ofTomasiandmanycoworkers(also
COSMO)
Cavi8esandTheirFillingsArbitraryCavi8es
Arbitrary cavities require non-analytic or approximate solutions of the Poisson equation for interior charge expressed as either a continuous charge distribution or a
single- or multicenter multipole expansion
solute
εCan Integrate through Volume
Can Integrate at Surface
Can use approximateform for Poissonequation
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Cavi8esandTheirFillingsArbitraryCavi8es
Arbitrary cavities require non-analytic or approximate solutions of the Poisson equation for interior charge expressed as either a continuous charge distribution or a
single- or multicenter multipole expansion
Mul8poleexpansion:Rivailandmany
coworkers
solute
εCan Integrate through Volume
Can Integrate at Surface
Can use approximateform for Poissonequation
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Cavi8esandTheirFillingsArbitraryCavi8es
Arbitrary cavities require non-analytic or approximate solutions of the Poisson equation for interior charge expressed as either a continuous charge distribution or a
single- or multicenter multipole expansion
GeneralizedBorn:GB(S8llandsubsequentothers,classical)and
SMx(Cramer&Truhlar,quantum
SCRF) €
GP = −121− 1
ε
$
% &
'
( ) qkq * k γ k * k
k, * k
atoms
∑
€
γ k # k = rk # k 2 +αkα # k e
−rk # k 2 / dk # k α kα # k ( )
−1/ 2
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€
GP = −121− 1
ε
$
% &
'
( ) qkγ kk'qk '
kk'
atoms
∑
€
γ kk' = rkk '2 +αkαk'e
−rkk '2 / dαkαk '( )
−1/ 2
LimiDngbehaviors…
GeneralizedBorn(GB)equa8on
BulkElectrosta8cEffects
Born’sEquaDon
€
GP = −121− 1
ε
$
% &
'
( ) qk2
αk€
rkk' = 0
monatomicion
ε
q1q2
q3q2
q1 q3
€
rkk' >> 0
Coulomb’sLaw1/2(–gas+solu8on)
'
'1121
kk
kkrqqG !
"#
$%& −−=
εP
AvoidschargepenetraDonandcanbeputintopairwiseform(advantages)butrequiresparDalatomiccharges(disadvantage).NowheavilyusedforclassicalsimulaDons,lessforquantumcalculaDons.
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Solvation (Condensed Phase) Models
Implicit Solvent—Non-electrostatics
Video VI.v
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SomeRulesforImplicitSolventModeling
• Rule 3: Electrostatics are only part of the free energy of solvation.
• Consequence: One needs to somehow account for cavitation, dispersion, solvent-structural changes, etc., if one wants to make contact with the experimental observable.
• Tools: It’s nice if you can also fix up your electrostatic approximations at the same time
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HowtoAccountforNonelectrosta8cTerms?
• Ignorethemcompletely(poten8allyvalidforpolyelectrolytes,whereelectrosta8ceffectswillbeexpectedtodominateinanycase)
• Alempttocomputeseparatelyusing,e.g.,scaled-par8cletheorytoes8matecavita8oncosts,dispersionfrommodelsemployingatomicorgrouppolarizabili8es,othersfrom…?
• Assumepropor8onalitytosolvent-accessiblesurfaceareaofatomsorgroupsandparameterizemicroscopicsurfacetensions(orsurfacetensionfunc8onals)
• Con8nuumsolva8onissemiempiricalfromtheoutset,soparameteriza8onisnosin(CJCpersonalopinion…)
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Cavita8on,Dispersion,Structuralrearrangementofsolvent
SolventAccessibleSurfaceArea
(definesthefirstsolva8onshell)
First-Solva8on-ShellContribu8ons
T C-O(Å
)
RC-O(Å)
0.0
0.2
0.4
0.6
0.8
1 1.1 1.2 1.3 1.4
Switchingfunc1ons(Tk,k’)
atomic-number-dependentparameters
0.4Å€
GCDS = Ak σ k + σ kk' (R)k '
atoms∑
$
% &
'
( )
k
atoms∑
atomicsurfacetensiondesignedtoaccountfortheeffectofsolutegeometry
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MicroscopicSurfaceTensions
€
GCDS = Akσkk∑
Example:TheSMxuniversalsolva8onmodels
€
σ i = ˆ σ Z i(ξ j )
ξ jj
descr
∑
SomeDescriptorsξ:nissolventindexofrefrac8on
γissolventmacroscopicsurfacetensionαissolventhydrogen-bondingacidity(Abraham)βissolventhydrogen-bondingbasicity(Abraham)
Zisatomicnumber
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€
ΔGS,expto −ΔGENP =GCDS = Akσ k
k∑
MicroscopicSurfaceTensions
Example:TheSMxuniversalsolva8onmodels
€
σ i = ˆ σ Z i(ξ j )
ξ jj
descr
∑
SomeDescriptorsξ:nissolventindexofrefrac8on
γissolventmacroscopicsurfacetensionαissolventhydrogen-bondingacidity(Abraham)βissolventhydrogen-bondingbasicity(Abraham)
AWerparameterizaDon(about72parametersfor2500data{H,C,N,O,F,S,P,Cl,Br-compounds}in91solventsincludingwater)SM8
hasameanunsignederrorofapproximately0.6kcalmol–1forneutralsand3-6kcalmol–1forions,dependingonsolvent
Zisatomicnumber
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Examples of Solvent Descriptors
H2O C6H6 CH2Cl2
dielectric constant 78.36 2.27 8.93 Abraham’s hydrogen bond acidity 0.82 0.00 0.10 Abraham’s hydrogen bond basicity 0.38 0.14 0.05
refractive index 1.33 1.50 1.42 surface tension (cal mol-1Å-2) 104.71 40.62 39.15
carbon aromaticity 0.00 1.00 0.00 electronegative halogenicity 0.00 0.00 0.67
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SM8Performance
Cramer, C. J.; Truhlar, D. G. Acc. Chem. Res. 2008, 41, 760
Meanunsignederrors(kcal/mol)forSM8andsomeotherpopularconDnuumsolvaDonmodels
Solute class Data SM8 IEF-PCM C-PCM PB All equal
N G03/UA0 GAMESS Jaguar to mean
aqueous neutrals 274 0.5 4.9 1.6 0.9 2.7
nonaq. neutrals 666 0.6 6.0 2.8 2.3 1.5
aqueous ions 112 3.2 12.4 8.4 4.0 8.6
nonaqueous ions 220 4.9 8.4 8.4 8.1 8.6
Marenich, A. V.; Cramer, C. J.; Truhlar, D. G. “Performance of SM6, SM8, and SMD on the SAMPL1 Test Set for the Prediction of Small-Molecule Solvation Free Energies” J. Phys. Chem. B 2009, 113, 4538.Ribeiro, R. F.; Marenich, A. V.; Cramer, C. J.; Truhlar, D. G. “Prediction of SAMPL2 Aqueous Solvation Free Energies and Tautomeric Ratios Using the SM8, SM8AD, and SMD Solvation Models” J. Comput.-Aid. Mol. Des. 2010, 24, 317.
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SMDExamplefromG09TSstructureforwater-assistedtautomeriza8onof1-methylthymine
GasphaseSCFDone:E(RM06)=-510.336253045A.U.aver1cycles
Dipolemoment(Debye):Tot=5.3667
AqueousSCFDone:E(RM06)=-510.358270799A.U.aver12cyclesConvg=0.4387D-08-V/T=2.0099SMD-CDS(non-electrosta8c)energy(kcal/mol)=4.81(includedintotalenergyabove)
Freeenergyofsolva8on=–510.358271–(–510.336253)=–0.022018a.u.=–13.8kcal/mol
Dipolemoment(Debye):Tot=7.5777
Note(i)significantnon-electrostaDccomponentand(ii)significantpolarizaDonasjudgedbyincreaseddipolemoment.
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Func8onalFormforGCDS
SM6
€
GCDS = Ak σ k + σ kk' (R)k '
atoms∑
$
% &
'
( )
k
atoms∑
SM6T
€
GCDS =GCDS T0( ) +
ΔSS! T −T0( ) +
ΔCP! T −T0( )−T ln T T0( )[ ]
temperaturedependenceofthenon-electrosta8ccontribu8onstothefreeenergyofsolva8onrela8vetothevalueatT0(298K)
contribu8onat298KfromSM6
Introduc8onofTemperatureDependenceintoGCDS
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Func8onalFormforGCDS
SM6
€
GCDS = Ak σ k + σ kk' (R)k '
atoms∑
$
% &
'
( )
k
atoms∑
SM6T
€
GCDS =GCDS T0( ) +
Ak σ kΔS + σ kk '
ΔS (R)k '
atoms∑
%
& '
(
) *
k
atoms∑
%
& '
(
) * T −T0( ) +
Ak σ kΔCP + σ kk '
ΔCP (R)k '
atoms∑
%
& '
(
) *
k
atoms∑
%
& '
(
) * T −T0( )−T ln T T0( )[ ]
temperaturedependenceofthenon-electrosta8ccontribu8onstothefreeenergyofsolva8onrela8vetothevalueatT0(298K)
entropy-likecomponent
heatcapacity-likecomponent
Introduc8onofTemperatureDependenceintoGCDS
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-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
270 290 310 330 350 370Temperature (K)
Free e
nerg
y (
kcal/m
ol)
nExperimentnLinearnUnrestricted-14parametersnFinal-7parameters
Varia8onofthefreeenergyofhydra8onofbenzenerela8veto298K
QualityofParameteriza8onforBenzene
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Solvation (Condensed Phase) Models
Implicit Solvent—Phase-phase Partitioning
Video VI.vi
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solvent A
solvent B
ΔGSo(A→ B)
gas-phase
pure solution of solute
ΔGSo(self )
gas-phase
liquid solution
ΔGSo
Absolute free energy of solvation
Solvation free energy —all solvents, no types
Free energy of self-solvation
Vapor pressure
Transfer free energy of solvation
Partition coefficient
WhatDoWePredictwithSMxSolva8onModels?
By combining these, we also calculate solubility. Have also extended to:• Interface adsorption• Membrane permeability
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Agas
Asol’n (1) Asol’n (2)
∆GS (1) ∆GS (2)o o
∆G(1)↔(2)o
Free Energies of Solvation and Partition Coefficients
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9-methyladenine
N
N N
N
CH3
NH2
N
N N
N
CH3
NH2
H2N
N
N N
N
CH3H2N
N
N N
N
CH3H2N
H
O
N
N N
N
CH3
H
O
N
N N
N
CH3
HNCH3
H H
H
H
N
N
O
H HN
N
O
H Br
N
N
O
H CH3 N
N
NH2CH3
O
N
N
NH2Br
O
N
N
NH2H
O
CH3 CH3
CH3CH3
CH3 CH3
O
O O
9,N6-dimethyladenine 1-methylcytosine 5-bromo-1-methylcytosine
2-amino-9-methylpurine 2,6-diamino-9-methylpurine 1-methylthymine 1,5-dimethylcytosine
9-methylguanine 9-methylhypoxanthine 1-methyluracil 5-bromo-1-methyluracil
1
2
34
56 7
8
9 12
3 4
5
6
Natural and Unnatural Nucleic Acid Bases
Giesenetal.J.Phys.Chem.B1997,101,5084.
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Calculated Chloroform/Water Partition Coefficients
Solute SM5.4/A
logK CHCl3/H2O
Experiment
logK CHCl3/H2O
9-Methyladenine –1.6 –0.89,N6-Dimethyladenine –0.3 0.4*2-Amino-9-methylpurine –1.9 –0.5*2,6-Diamino-9-methylpurine –2.49-Methylguanine –4.1 –3.59-Methylhypoxanthine –3.5 –2.51-Methylcytosine –4.3 –3.05-Bromo-1-methylcytosine –2.41-Methylthymine –0.3 –0.51,5-Dimethylcytosine –3.11-Methyluracil –1.2 –1.25-Bromo-1-methyluracil –0.3 –0.7*Mean unsigned error: 0.7
*=predictedbefore
measurement
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Agas
Apure Asol’n
∆GSo o
o
Solubility from Solvation Free Energy and Vapor Pressure
P
S
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Mean-unsigned error (MUE) in predicted log P•
SM5.42R Solute class No. data HF B3LYP AM1hydrocarbons 11 0.3 0.3 0.2aromatics 6 0.2 0.3 0.2alcohols/phenols 9 0.3 0.2 0.3ethers 4 0.2 0.2 0.2carbonyls 11 0.7 0.5 0.8esters 7 0.3 0.2 0.6CHN compounds 7 0.2 0.2 0.4nitro compounds 5 0.1 0.2 0.3HCNO compounds 60 0.3 0.3 0.4halocarbons 15 0.4 0.4 0.5all liquid solutes 75 0.3 0.3 0.4
Winget et al. J. Phys. Chem. B 2000, 104, 4726
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Mean-unsigned error (MUE) in predicted log S SM5.42R
Solute class No. data HF B3LYP AM1 UNIFAChydrocarbons 11 0.5 0.4 0.4 1.4aromatics 6 0.1 0.0 0.1 0.2alcohols/phenols 9 0.3 0.2 0.3 0.6ethers 4 0.5 0.5 0.5 0.5carbonyls 11 0.4 0.4 0.5 0.3esters 7 0.3 0.3 0.2 0.1CHN compounds 7 0.7 0.5 0.6 0.5nitro compounds 5 0.4 0.4 0.2 0.2HCNO compounds 60 0.4 0.4 0.4 0.6halocarbons 10 0.2 0.3 0.2 0.4all liquid solutes 70 0.4 0.3 0.3 0.5solid solutes 13 0.3 0.4 0.5 0.8
Thompson et al. J. Chem. Phys. 2003, 119, 1661
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Analysis of Membrane/Water Partitioning
** *
*
*****
** *
* ** * *
*
*
**
* *
*
*
* = SoluteKnown starting concentrationsMicrosyringe to sample aqueous phaseInterior vesicle volume negligible
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O
PO
O
ONMe3
O
O
O
O
“Solvent” Model for Phosphatidyl Choline
SM5.4 requires:
Best guess:
Regression fit:
ε
5.0
(5.0)
n
1.37
1.40
α
0.0
(0.0)
β
0.9
1.15
γ
27
25
(Const.)
0.59
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OH
CH3Cl
OH
NH2
OH
OOH
Cl
OH
NO2
NH2
NO2
NMe2
CH3
NO2
OH
OH OH
nC5H11
N
NH2
Cl
Cl Cl
Cl
Cl Cl
CH3
Cl
Cl Cl
Water/Phosphatidyl Choline Partitioning
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5432100
1
2
3
4
5
Predicted vs Experimental log K (m/w)
Experiment
Pred
icte
dy = - 5.2182e-2 + 0.90812x R^2 = 0.795
Chambers et al. in Rational Drug Design, Truhlar, et al. Eds.; Springer: New York, 1999, p. 51.
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Soil/Water Partitioning
Dirt
Important factor controlling the persistence of environmental contaminants
organiccarbon
KOC =[X]soil / %OC
[X]aqueous
remarkably constant from clay to loam to peat
carbamates, phosphonothioates, polyhalogenated aromatics, ureas, horrible molecules
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“Solvent” Model for Soil
SM5.42R requires:
Best guess:
Regression fit:
ε
?
(15.0)
n
?
1.379
α
?
0.61
β
?
0.60
γ
?
46.0
"Dirt/MIDI!"
Mean unsigned error over 387 compounds = 1 log unit
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Correlation of a Subset of Chlorinated Biphenyls
y = 1.05x - 0.99
2
2.5
3
3.5
4
4.5
5
5.5
6
2 2.5 3 3.5 4 4.5 5 5.5Calculated log K OC
Expe
rimen
tal l
og K
OC
ClnClm Theory allows for an atom-by-atom decompositionof the partitioning energies to better understandfactors affecting them
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Solvation (Condensed Phase) Models
Hybrid Explicit/Implicit Solvent “it was the best of models, it was the worst of models”
Video VI.vii
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Equilibria:ThemamitVeränderungenpKa(Born-Habercycle)
A–(g) + H+
(g)AH(g)
AH(s) A–(s) + H+
(s)
∆GoS(H+)
∆Gog
∆GoS(AH)
∆Go´aq
∆GoS(A–)
1) Need diffuse func8ons in basis set and good theory to get accurate gas-phasedeprotona8onfreeenergy
2) Can’t compute E for H+ (no electrons!) so electronic structure programs arereluctanttocomputethermalcontribu8onstoG(butagoodspreadsheetwill)
3) ΔGoSofprotonisanexperimentalquan8ty(–264.0kcalmol–1)
4) Standard-stateconcentra8on-changefreeenergymustbeincluded5) Eachnon-cancellederrorof1.4kcalmol–1inanystepwillleadtoanerrorinpKaof1
pK unit—errors in ionic solva8on freeenergies arepoten8allymuch larger thanthis…
6) Cancorrectforfunc8onal-groupsystema8cerrors,see:Klicicetal.J.Phys.Chem.A2002,106,1327.
€
pKa = −log e−ΔGaqo $ /RT( )
=ΔGaq
o$
2.303RT
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FreeEnergyCyclesandIons
€
AH(g)
€
AH(aq)
€
A−(g)
€
A−(aq)
€
H+(g)
€
H+(aq)€
ΔGS∗(H+)
€
ΔGg! (AH)
€
2.303RTpKa
€
+
€
+
ΔGS*(AH) ΔGS
*(A-)
No explicit water molecules
€
2.303RTpKa = ΔGg! (AH)−ΔGS
∗(AH) +ΔGS∗(A−) +ΔGS
∗(H+)
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FreeEnergyCyclesandIonicClusters
+
++
+
€
H2O • A−(g)
€
H2O • A−(aq)
€
H2O (aq) €
H2O (g)
€
AH (g)
€
AH (aq) €
H+(g)
€
H+(aq)
€
2.303RTpKa
€
ΔGg (AH)
€
ΔGS∗(H2O)
€
ΔGS∗(H+) ΔGS
*(AH) ΔGS*(H2O•A-)
Treat the ion as a cluster
€
2.303RTpKa = ΔGg! (AH)−ΔGS
∗(AH)−ΔGS∗(H2O) +ΔGS
∗(H2O •A−) +ΔGS∗(H+)
For addiDonal details on cluster solvaDon free energies and their use to set theabsolute solvaDon free energy of the proton and the absolute potenDal of thenormal hydrogenelectrode (NHE), seeKelly, C. P.; Cramer, C. J.; Truhlar,D.G. J.Phys.Chem.B2006,110,16066.
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Example:pKaofMethanol(Expt.15.5)
€
ΔGg! = + 375.0 kcal/mol
ΔGS∗(H+) = − 265.9 kcal/mol
ΔGS∗(MeOH) = − 5.11kcal/mol
€
ΔGg! = + 358.0 kcal/mol
ΔGS∗(H+) = − 265.9 kcal/mol
ΔGS∗(MeOH) = − 5.11kcal/mol
ΔGS∗(H2O) = − 6.32 kcal/mol
ΔGS*(MeO-) = -88.3kcal/mol ΔGS*(H2O•MeO- ) = -81.8kcal/mol
€
pKa = 20.4
€
pKa =16.0
Experimental data: Experimental data:
Calculated (SM6) data: Calculated (SM6) data:
€
MeOH /H2O •MeO−
(Cycle2)
€
MeOH /MeO−
(Cycle1)
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AddingMoreWaters
Addingexplicitwatermoleculesimprovestheaccuracyofthecalcula1on
CalculatedpKa’s
ExperimentalpKa’s
H2CO3 HCO3- CO3
2-
€
pKa1 = 6.4
€
pKa2 =10.3
No. H2O
0 -0.6 1.6 1 1.3 5.0 2 2.3 7.8 3 4.2 9.0 €
pKa1
€
pKa2 O
CO
H
OH
O
HO
H
HO
H
2-
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ClusteringOtherIons
-5
5
15
25
35
-5 5 15 25 35
CalculatedpKa
Expe
rimen
talpK a
-5
5
15
25
35
-5 5 15 25 35
:clusteredionused:bareionused,
Kelly, C. P.; Cramer, C. J.; Truhlar, D. G. J. Phys. Chem. A. 2006, 110, 2493
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Ru(bpy)(damp)CatalystN
NRuIV
NMe2N
NMe2
O
criDcalchemicalstep
Vigaraetal.Chem.Sci.2012,3,2576.
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PhotocourtesyNatalieLucierofFlickrunderCreaDveCommonslicense