Linear basis function approach to efficient alchemical free energy calculations. 2. Inserting and deleting particles with coulombic interactions.

We extend our previous linear basis function approach for alchemical free energy calculations to the insertion and deletion of charged particles in dense fluids. We compute a near optimal statistical path to introduce Coulombic interactions into various molecules in solution and find that this near optimal path is only marginally more efficient than simple linear coupling of electrostatics in all cases where a repulsive core is already present. We also explore the order in which nonbonded forces are coupled to the environment in alchemical transformations. We test two sets of Lennard-Jones basis functions, a Weeks-Chandler-Andersen (WCA) and a 12-6 decomposition of the repulsive and attractive forces turned on in sequence along with changes in charge, to determine a statistically optimized order in which forces should be coupled. The WCA decomposition has lower statistical uncertainty as coupling the attractive r(-6) basis function contributes non-negligible statistical error. In all cases, the charge should be coupled only after the repulsive core is fully coupled, and the WCA attractive portion can be coupled at any stage without significantly changing the efficiency. The statistical uncertainty of two of the basis function approaches with charged particles is nearly identical to the soft core approach for decoupling electrostatics, though the correlation times for sampling are often longer for a soft core electrostatics approach than the basis function approach. The basis function approach for introducing or removing molecules or functional groups thus represents a useful alternative to the soft core approach with a number of clear computational advantages.

[1]  Riccardo Baron,et al.  Computational Drug Discovery and Design , 2012, Methods in Molecular Biology.

[2]  Michael R Shirts,et al.  Linear Basis Function Approach to Efficient Alchemical Free Energy Calculations. 1. Removal of Uncharged Atomic Sites. , 2014, Journal of chemical theory and computation.

[3]  Michael R. Shirts,et al.  Solvation free energies of amino acid side chain analogs for common molecular mechanics water models. , 2005, The Journal of chemical physics.

[4]  Michael R Shirts,et al.  Identifying low variance pathways for free energy calculations of molecular transformations in solution phase. , 2011, The Journal of chemical physics.

[5]  Peter M. Kasson,et al.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit , 2013, Bioinform..

[6]  Chris Oostenbrink,et al.  Efficient free energy calculations on small molecule host‐guest systems—A combined linear interaction energy/one‐step perturbation approach , 2009, J. Comput. Chem..

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

[8]  Michael R. Shirts,et al.  Replica exchange and expanded ensemble simulations as Gibbs sampling: simple improvements for enhanced mixing. , 2011, The Journal of chemical physics.

[9]  Michael R Shirts,et al.  Simple Quantitative Tests to Validate Sampling from Thermodynamic Ensembles. , 2012, Journal of chemical theory and computation.

[10]  R. Swendsen,et al.  THE weighted histogram analysis method for free‐energy calculations on biomolecules. I. The method , 1992 .

[11]  Xiao-Li Meng,et al.  Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling , 1998 .

[12]  Chris Oostenbrink,et al.  Efficient and Accurate Free Energy Calculations on Trypsin Inhibitors. , 2012, Journal of chemical theory and computation.

[13]  David Chandler,et al.  Mode Expansion in Equilibrium Statistical Mechanics. II. A Rapidly Convergent Theory of Ionic Solutions , 1971 .

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

[15]  LarssonPer,et al.  GROMACS 4.5 , 2013 .

[16]  Michael R. Shirts,et al.  Statistically optimal analysis of samples from multiple equilibrium states. , 2008, The Journal of chemical physics.

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

[18]  Vijay S. Pande,et al.  OpenMM: A Hardware-Independent Framework for Molecular Simulations , 2010, Computing in Science & Engineering.

[19]  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.

[20]  Field theory for size- and charge-asymmetric primitive model of ionic systems: mean-field stability analysis and pretransitional effects. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[22]  Vijay S Pande,et al.  CCMA: A Robust, Parallelizable Constraint Method for Molecular Simulations. , 2010, Journal of chemical theory and computation.

[23]  Peter A. Kollman,et al.  FREE ENERGY CALCULATIONS : APPLICATIONS TO CHEMICAL AND BIOCHEMICAL PHENOMENA , 1993 .

[24]  Arnaud Blondel,et al.  Ensemble variance in free energy calculations by thermodynamic integration: Theory, optimal “Alchemical” path, and practical solutions , 2004, J. Comput. Chem..

[25]  Michael R Shirts,et al.  Best practices in free energy calculations for drug design. , 2012, Methods in molecular biology.

[26]  T. Dudnakova,et al.  Methods Molecular Biology , 2016 .

[27]  S. Nosé,et al.  Constant pressure molecular dynamics for molecular systems , 1983 .

[28]  Michael R. Shirts,et al.  Optimal pairwise and non-pairwise alchemical pathways for free energy calculations of molecular transformation in solution phase. , 2012, The Journal of chemical physics.

[29]  Wilfred F van Gunsteren,et al.  Calculation of relative free energies for ligand-protein binding, solvation, and conformational transitions using the GROMOS software. , 2011, The journal of physical chemistry. B.

[30]  Vijay S. Pande,et al.  Accelerating molecular dynamic simulation on graphics processing units , 2009, J. Comput. Chem..

[31]  H. C. Andersen,et al.  Role of Repulsive Forces in Determining the Equilibrium Structure of Simple Liquids , 1971 .

[32]  G. Ciccotti,et al.  Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes , 1977 .

[33]  Michael R Shirts,et al.  A Benchmark Test Set for Alchemical Free Energy Transformations and Its Use to Quantify Error in Common Free Energy Methods. , 2011, Journal of chemical theory and computation.

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

[35]  Alan E. Mark,et al.  Estimating the Relative Free Energy of Different Molecular States with Respect to a Single Reference State , 1996 .

[36]  Jozef Hritz,et al.  Hamiltonian replica exchange molecular dynamics using soft-core interactions. , 2008, The Journal of chemical physics.

[37]  Ken A Dill,et al.  Use of the Weighted Histogram Analysis Method for the Analysis of Simulated and Parallel Tempering Simulations. , 2007, Journal of chemical theory and computation.

[38]  Andrew J Schultz,et al.  Quantifying Computational Effort Required for Stochastic Averages. , 2014, Journal of chemical theory and computation.

[39]  S. Takada,et al.  On the Hamiltonian replica exchange method for efficient sampling of biomolecular systems: Application to protein structure prediction , 2002 .

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

[41]  Shankar Kumar,et al.  Multidimensional free‐energy calculations using the weighted histogram analysis method , 1995, J. Comput. Chem..

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

[43]  Gavin E Crooks,et al.  Measuring thermodynamic length. , 2007, Physical review letters.

[44]  David A. Case,et al.  Soft‐core potentials in thermodynamic integration: Comparing one‐ and two‐step transformations , 2011, J. Comput. Chem..

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

[46]  M. Shirts,et al.  Effects of Temperature Control Algorithms on Transport Properties and Kinetics in Molecular Dynamics Simulations. , 2013, Journal of chemical theory and computation.

[47]  David L Mobley,et al.  An introduction to best practices in free energy calculations. , 2013, Methods in molecular biology.

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

[49]  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.

[50]  D. Ferguson,et al.  Isothermal-isobaric molecular dynamics simulations with Monte Carlo volume sampling , 1995 .

[51]  Benoît Roux,et al.  Hydration of Amino Acid Side Chains: Nonpolar and Electrostatic Contributions Calculated from Staged Molecular Dynamics Free Energy Simulations with Explicit Water Molecules , 2004 .

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

[53]  J. Åqvist,et al.  Molecular Dynamics Simulations of Water and Biomolecules with a Monte Carlo Constant Pressure Algorithm , 2004 .

[54]  David L Mobley,et al.  Nonlinear scaling schemes for Lennard-Jones interactions in free energy calculations. , 2007, The Journal of chemical physics.

[55]  H. Philippe,et al.  Computing Bayes factors using thermodynamic integration. , 2006, Systematic biology.

[56]  Vijay S. Pande,et al.  Efficient nonbonded interactions for molecular dynamics on a graphics processing unit , 2010, J. Comput. Chem..

[57]  Kai Wang,et al.  Identifying ligand binding sites and poses using GPU-accelerated Hamiltonian replica exchange molecular dynamics , 2013, Journal of Computer-Aided Molecular Design.