Classical Density Functional Theory of Solvation in Molecular

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Classical Density Functional Theory of Solvation in Molecular Solvents Daniel Borgis Département de Chimie

Classical Density Functional Theory of Solvation in Molecular Solvents Daniel Borgis Département de Chimie Ecole Normale Supérieure de Paris daniel. borgis@ens. fr • Rosa Ramirez (Université d’Evry) • Shuangliang Zhao (ENS Paris)

Solvation: Some issues For a given molecule in a given solvent, can we predict

Solvation: Some issues For a given molecule in a given solvent, can we predict efficiently and with « chemical accuracy: • The solvation free energy • The microscopic solvation profile A few applications: • Differential solvation (liquid-liquid extraction) • Solubility prediction • Reactivity • Biomolecular solvation, …. Explicit solvent/FEP

Solvation: Implicit solvent methods Dielectric continuum approximation (Poisson-Boltzmann) electrostatics + non-polar Solvent Accessible Surface

Solvation: Implicit solvent methods Dielectric continuum approximation (Poisson-Boltzmann) electrostatics + non-polar Solvent Accessible Surface Area (SASA) Biomolecular modelling: PB-SA method Quantum chemistry: PCM method

Improved implicit solvent models (based on « modern » liquid state theory) • Integral

Improved implicit solvent models (based on « modern » liquid state theory) • Integral equations • Interaction site picture (RISM) (D. Chandler, P. Rossky, M. Pettit, F. Hirata, A. Kovalenko) Site-site OZ + closure • Molecular picture (G. Patey, P. Fries, …) Molecular OZ + closure • Classical Density Functional Theory This work: Can we use classical DFT to define an improved and well-founded implicit solvation approach?

DFT formulation of electrostatics P(r) Fpol entropy Fext Fexc Solvent-solvent

DFT formulation of electrostatics P(r) Fpol entropy Fext Fexc Solvent-solvent

Dielectric Continuum Molecular Dynamics M. Marchi, DB, et al. , J. Chem Phys. (2001),

Dielectric Continuum Molecular Dynamics M. Marchi, DB, et al. , J. Chem Phys. (2001), Comp. Phys. Comm. (2003) Use analogy with electronic DFT calculations and CPMD method Plane wave expansion Soft « pseudo-potentials » On-the-fly minimization with extended Lagrangian

Dielectric Continuum Molecular Dynamics a-helix horse-shoe

Dielectric Continuum Molecular Dynamics a-helix horse-shoe

Dielectric Continuum Molecular Dynamics Energy conservation Adiabaticity

Dielectric Continuum Molecular Dynamics Energy conservation Adiabaticity

Beyond continuum electrostatics: Classical DFT of solvation In the grand canonical ensemble, the grand

Beyond continuum electrostatics: Classical DFT of solvation In the grand canonical ensemble, the grand potential can be written as a functional of r(r, W): Intrinsic to a given solvent Functional minimization: D. Mermin ( « Thermal properties of the inhomogeneous electron gas » , Phys. Rev. , 137 (1965)) Thermodynamic equilibrium

In analogy to electronic DFT, how to use classical DFT as a « theoretical

In analogy to electronic DFT, how to use classical DFT as a « theoretical chemist » tool to compute the solvation properties of molecules, in particular their solvation free-energy ? But what is the functional ? ?

The exact functional

The exact functional

The homogeneous reference fluid approximation Neglect the dependence of c(2)(x 1, x 2, [ra])

The homogeneous reference fluid approximation Neglect the dependence of c(2)(x 1, x 2, [ra]) on the parameter a, i. e use direct correlation function of the homogeneous system c(x 1, x 2) connected to the pair correlation function h(x 1, x 2) through the Ornstein-Zernike relation g(r) h(r)

The homogeneous reference fluid approximation Neglect the dependence of c(2)(x 1, x 2, [ra])

The homogeneous reference fluid approximation Neglect the dependence of c(2)(x 1, x 2, [ra]) on the parameter a, i. e use direct correlation function of the homogeneous system c(x 1, x 2) connected to the pair correlation function h(x 1, x 2) through the Ornstein-Zernike relation g(r) h(r)

The picture Functional minimization

The picture Functional minimization

Rotational invariants expansion

Rotational invariants expansion

The case of dipolar solvents The Stockmayer solvent

The case of dipolar solvents The Stockmayer solvent

A generic functional for dipolar solvents Particle density Polarization density R. Ramirez et al,

A generic functional for dipolar solvents Particle density Polarization density R. Ramirez et al, Phys. Rev E, 66, 2002 J. Phys. Chem. B 114, 2005

A generic functional for dipolar solvents

A generic functional for dipolar solvents

A generic functional for dipolar solvents

A generic functional for dipolar solvents

A generic functional for dipolar solvents

A generic functional for dipolar solvents

A generic functional for dipolar solvents Connection to electrostatics: R. Ramirez et al, JPC

A generic functional for dipolar solvents Connection to electrostatics: R. Ramirez et al, JPC B 114, 2005

The picture Functional minimization

The picture Functional minimization

Step 1: Extracting the c-functions from MD simulations Pure Stockmayer solvent, 3000 particles, few

Step 1: Extracting the c-functions from MD simulations Pure Stockmayer solvent, 3000 particles, few ns s = 3 A, n 0 = 0. 03 atoms/A 3 m 0 = 1. 85 D, e = 80 h-functions c-functions O-Z

Step 2: Functional minimisation around a solvated molecule • Minimization with respect to •

Step 2: Functional minimisation around a solvated molecule • Minimization with respect to • Discretization on a cubic grid (typically 643) • Conjugate gradients technique • Non-local interactions evaluated in Fourier space (8 FFts per minimization step) Minimisation step

N-methylacetamide: Particle and polarization densities trans cis

N-methylacetamide: Particle and polarization densities trans cis

N-methylacetamide: Radial distribution functions O C N H CH 3

N-methylacetamide: Radial distribution functions O C N H CH 3

N-methylacetamide: Isomerization free-energy cis trans Umbrella sampling DFT

N-methylacetamide: Isomerization free-energy cis trans Umbrella sampling DFT

DFT: General formulation (with Shuangliang Zhao) To represent: One needs higher spherical invariants expansions

DFT: General formulation (with Shuangliang Zhao) To represent: One needs higher spherical invariants expansions or angular grids Begin with a linear model of Acetonitrile (Edwards et al)

Step 1: Inversion of Ornstein-Zernike equation

Step 1: Inversion of Ornstein-Zernike equation

Step 2: Minimization of the discretized functional Vexc(r 1, W 1)

Step 2: Minimization of the discretized functional Vexc(r 1, W 1)

Step 2: Minimization of the discretized functional • Discretization of on a cubic grid

Step 2: Minimization of the discretized functional • Discretization of on a cubic grid for positions and Gauss-Legendre grid for orientations (typically 643 x 32) • Minimization in direct space by quasi-Newton (BFGS-L) (8 x 106 variables !!) • 2 x NW = 64 FFTs per minimization step ~20 s per minimization step on a single processor

Solvation in acetonitrile: Results Solvent structure Na+ Na MD DFT

Solvation in acetonitrile: Results Solvent structure Na+ Na MD DFT

Solvation in acetonitrile: Results MD (~20 hours) DFT (10 mn)

Solvation in acetonitrile: Results MD (~20 hours) DFT (10 mn)

Solvation in acetonitrile: Results Halides solvation free energy Parameters for ion/TIP 3 P interactions

Solvation in acetonitrile: Results Halides solvation free energy Parameters for ion/TIP 3 P interactions

Solvation in SPC/E water Solute-Oxygen radial distribution functions Z MD DFT Y X Three

Solvation in SPC/E water Solute-Oxygen radial distribution functions Z MD DFT Y X Three angles:

Solvation in SPC/E water N C CH 3

Solvation in SPC/E water N C CH 3

Solvation in SPC/E water Cl-q

Solvation in SPC/E water Cl-q

Solvation in SPC/E water Water in water g. OO(r) HNC PL-HNC HNC+B

Solvation in SPC/E water Water in water g. OO(r) HNC PL-HNC HNC+B

Conclusion DFT • One can compute solvation free energies and microscopic solvation profiles using

Conclusion DFT • One can compute solvation free energies and microscopic solvation profiles using « classical » DFT • Solute dynamics can be described using CPMD-like techniques • For dipolar solvents, we presented a generic functional of • Direct correlation functions can be computed from MD simulations • For general solvents, one can use angular grids instead of rotational invariants expansion • BEYOND: -- Ionic solutions -- Solvent mixtures -- Biomolecule solvation or R. Ramirez et al, Phys. Rev E, 66, 2002 J. Phys. Chem. B 114, 2005 Chem. Phys. 2005 L. Gendre at al, Chem. Phys. Lett. S. Zhao et al, In prep.

DCMD: « Soft pseudo-potentials » V(r) = c(r)-1= 4 p /(e(r)-1) c=0 V(r) r

DCMD: « Soft pseudo-potentials » V(r) = c(r)-1= 4 p /(e(r)-1) c=0 V(r) r r

Dielectric Continuum Molecular Dynamics Hexadecapeptide P 2 La 3+ Ca 2+

Dielectric Continuum Molecular Dynamics Hexadecapeptide P 2 La 3+ Ca 2+

DCMD: Computation times linear in N ! Each time step correspond to a solvent

DCMD: Computation times linear in N ! Each time step correspond to a solvent free energy, thus an average over many solvent microscopic configurations