New Soft-Core Potential Function for Molecular Dynamics Based Alchemical Free Energy Calculations.

The fields of rational drug design and protein engineering benefit from accurate free energy calculations based on molecular dynamics simulations. A thermodynamic integration scheme is often used to calculate changes in the free energy of a system by integrating the change of the system's Hamiltonian with respect to a coupling parameter. These methods exploit nonphysical pathways over thermodynamic cycles involving particle introduction and annihilation. Such alchemical transitions require the modification of the classical nonbonded potential energy terms by applying soft-core potential functions to avoid singularity points. In this work, we propose a novel formulation for a soft-core potential to be applied in nonequilibrium free energy calculations that alleviates singularities, numerical instabilities, and additional minima in the potential energy for all combinations of nonbonded interactions at all intermediate alchemical states. The method was validated by application to (a) the free energy calculations of a closed thermodynamic cycle, (b) the mutation influence on protein thermostability, (c) calculations of small ligand solvation free energies, and (d) the estimation of binding free energies of trypsin inhibitors. The results show that the novel soft-core function provides a robust and accurate general purpose solution to alchemical free energy calculations.

[1]  C. Jarzynski Equilibrium free-energy differences from nonequilibrium measurements: A master-equation approach , 1997, cond-mat/9707325.

[2]  W. L. Jorgensen,et al.  Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids , 1996 .

[3]  W. Sherman,et al.  Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field. , 2010, Journal of chemical theory and computation.

[4]  H. Berendsen,et al.  Molecular dynamics with coupling to an external bath , 1984 .

[5]  J. Guthrie,et al.  Equilibrium constants and heats of formation of methyl esters and N,N-dimethyl amides of substituted benzoic acids , 1992 .

[6]  Helmut Grubmüller,et al.  Accuracy and convergence of free energy differences calculated from nonequilibrium switching processes , 2009, J. Comput. Chem..

[7]  David L Mobley,et al.  Alchemical free energy methods for drug discovery: progress and challenges. , 2011, Current opinion in structural biology.

[8]  Charles H. Bennett,et al.  Efficient estimation of free energy differences from Monte Carlo data , 1976 .

[9]  W. L. Jorgensen,et al.  Comparison of simple potential functions for simulating liquid water , 1983 .

[10]  Bert L de Groot,et al.  Protein thermostability calculations using alchemical free energy simulations. , 2010, Biophysical journal.

[11]  Chris Oostenbrink,et al.  Calculation of binding free energies of inhibitors to plasmepsin II , 2011, J. Comput. Chem..

[12]  T. Darden,et al.  Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems , 1993 .

[13]  K. Dill,et al.  On the use of orientational restraints and symmetry corrections in alchemical free energy calculations. , 2006, The Journal of chemical physics.

[14]  T. Straatsma,et al.  Separation‐shifted scaling, a new scaling method for Lennard‐Jones interactions in thermodynamic integration , 1994 .

[15]  V. Luzhkov,et al.  Ion permeation mechanism of the potassium channel , 2000, Nature.

[16]  Junmei Wang,et al.  Development and testing of a general amber force field , 2004, J. Comput. Chem..

[17]  Vincenzo Mollica,et al.  Group contributions to the thermodynamic properties of non-ionic organic solutes in dilute aqueous solution , 1981 .

[18]  T. Darden,et al.  A smooth particle mesh Ewald method , 1995 .

[19]  David van der Spoel,et al.  The Origin of Layer Structure Artifacts in Simulations of Liquid Water. , 2006 .

[20]  J. Tomasi,et al.  Quantum mechanical continuum solvation models. , 2005, Chemical reviews.

[21]  Michael H. Abraham,et al.  Thermodynamics of solute transfer from water to hexadecane , 1990 .

[22]  Araz Jakalian,et al.  Fast, efficient generation of high‐quality atomic charges. AM1‐BCC model: I. Method , 2000 .

[23]  A. Mark,et al.  Avoiding singularities and numerical instabilities in free energy calculations based on molecular simulations , 1994 .

[24]  G. Crooks Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systems , 1998 .

[25]  Berk Hess,et al.  LINCS: A linear constraint solver for molecular simulations , 1997 .

[26]  C. Jarzynski Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.

[27]  David L Mobley,et al.  Small molecule hydration free energies in explicit solvent: An extensive test of fixed-charge atomistic simulations. , 2009, Journal of chemical theory and computation.

[28]  K Schulten,et al.  VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.

[29]  David A. Kofke,et al.  Accuracy of free-energy perturbation calculations in molecular simulation. I. Modeling , 2001 .

[30]  A. Fersht,et al.  Alpha-helix stability in proteins. II. Factors that influence stability at an internal position. , 1992, Journal of molecular biology.

[31]  David A. Kofke,et al.  Accuracy of free-energy perturbation calculations in molecular simulation. II. Heuristics , 2001 .

[32]  R. Zwanzig High‐Temperature Equation of State by a Perturbation Method. I. Nonpolar Gases , 1954 .

[33]  Carsten Kutzner,et al.  GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation. , 2008, Journal of chemical theory and computation.

[34]  J. Andrew McCammon,et al.  Independent-Trajectories Thermodynamic-Integration Free-Energy Changes for Biomolecular Systems: Determinants of H5N1 Avian Influenza Virus Neuraminidase Inhibition by Peramivir , 2009, Journal of chemical theory and computation.

[35]  D. Heyes,et al.  Robust and accurate method for free-energy calculation of charged molecular systems. , 2005, The Journal of chemical physics.

[36]  Alessandra Villa,et al.  Sampling and convergence in free energy calculations of protein-ligand interactions: The binding of triphenoxypyridine derivatives to factor Xa and trypsin , 2003, J. Comput. Aided Mol. Des..

[37]  David L. Mobley,et al.  Chapter 4 Alchemical Free Energy Calculations: Ready for Prime Time? , 2007 .

[38]  M L Lamb,et al.  Computational approaches to molecular recognition. , 1997, Current opinion in chemical biology.

[39]  David L Mobley,et al.  Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent. , 2007, The journal of physical chemistry. B.

[40]  V. Hornak,et al.  Comparison of multiple Amber force fields and development of improved protein backbone parameters , 2006, Proteins.

[41]  J. Guthrie Concerning the distant polar interaction in free energies of transfer. An explanation and an estimation procedure , 1991 .

[42]  K. Dill,et al.  Predicting absolute ligand binding free energies to a simple model site. , 2007, Journal of molecular biology.

[43]  Stefan Bruckner,et al.  Efficiency of alchemical free energy simulations. I. A practical comparison of the exponential formula, thermodynamic integration, and Bennett's acceptance ratio method , 2011, J. Comput. Chem..

[44]  Richard Wolfenden,et al.  Cooperativity and anticooperativity in solvation by water: imidazoles, quinones, nitrophenols, nitrophenolate, and nitrothiophenolate ions , 1987 .

[45]  Federico Gago Modelling and simulation: a computational perspective in anticancer drug discovery. , 2004, Current medicinal chemistry. Anti-cancer agents.

[46]  Stefan Bruckner,et al.  Avoiding the van der Waals endpoint problem using serial atomic insertion , 2011, J. Comput. Chem..

[47]  P. Kollman,et al.  Settle: An analytical version of the SHAKE and RATTLE algorithm for rigid water models , 1992 .

[48]  Wilfred F. van Gunsteren,et al.  Basic ingredients of free energy calculations: A review , 2009, J. Comput. Chem..

[49]  Christopher I. Bayly,et al.  Fast, efficient generation of high‐quality atomic charges. AM1‐BCC model: II. Parameterization and validation , 2002, J. Comput. Chem..

[50]  M. Parrinello,et al.  Polymorphic transitions in single crystals: A new molecular dynamics method , 1981 .

[51]  Reinskje Talhout,et al.  Understanding binding affinity: a combined isothermal titration calorimetry/molecular dynamics study of the binding of a series of hydrophobically modified benzamidinium chloride inhibitors to trypsin. , 2003, Journal of the American Chemical Society.

[52]  M. Parrinello,et al.  Canonical sampling through velocity rescaling. , 2007, The Journal of chemical physics.

[53]  J. Kirkwood Statistical Mechanics of Fluid Mixtures , 1935 .

[54]  J. Gready,et al.  Combining docking and molecular dynamic simulations in drug design , 2006, Medicinal research reviews.

[55]  W. L. Jorgensen The Many Roles of Computation in Drug Discovery , 2004, Science.

[56]  David L Mobley,et al.  Predicting small-molecule solvation free energies: an informal blind test for computational chemistry. , 2008, Journal of medicinal chemistry.