The accelerated weight histogram method for alchemical free energy calculations

被引:23
作者
Lundborg, M. [1 ]
Lidmar, J. [2 ]
Hess, B. [3 ]
机构
[1] ERCO Pharma AB, S-11439 Stockholm, Sweden
[2] KTH Royal Inst Technol, Dept Phys, S-10691 Stockholm, Sweden
[3] KTH Royal Inst Technol, Sci Life Lab, Dept Appl Phys, S-10691 Stockholm, Sweden
基金
欧盟地平线“2020”;
关键词
MOLECULAR-DYNAMICS METHOD; CHARMM FORCE-FIELD; SIMULATION; EFFICIENT; WATER; THERMODYNAMICS; MECHANICS; ALGORITHM;
D O I
10.1063/5.0044352
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The accelerated weight histogram method is an enhanced sampling technique used to explore free energy landscapes by applying an adaptive bias. The method is general and easy to extend. Herein, we show how it can be used to efficiently sample alchemical transformations, commonly used for, e.g., solvation and binding free energy calculations. We present calculations and convergence of the hydration free energy of testosterone, representing drug-like molecules. We also include methane and ethanol to validate the results. The protocol is easy to use, does not require a careful choice of parameters, and scales well to accessible resources, and the results converge at least as quickly as when using conventional methods. One benefit of the method is that it can easily be combined with other reaction coordinates, such as intermolecular distances. (c) 2021 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:14
相关论文
共 66 条
[1]   Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers [J].
Abraham, Mark James ;
Murtola, Teemu ;
Schulz, Roland ;
Páll, Szilárd ;
Smith, Jeremy C. ;
Hess, Berk ;
Lindah, Erik .
SoftwareX, 2015, 1-2 :19-25
[2]   THERMODYNAMICS OF SOLUTE TRANSFER FROM WATER TO HEXADECANE [J].
ABRAHAM, MH ;
WHITING, GS ;
FUCHS, R ;
CHAMBERS, EJ .
JOURNAL OF THE CHEMICAL SOCIETY-PERKIN TRANSACTIONS 2, 1990, (02) :291-300
[3]  
[Anonymous], 2020, SIMPLE SMALL MOL SOL
[4]   Estimating thermodynamic expectations and free energies in expanded ensemble simulations: Systematic variance reduction through conditioning [J].
Athenes, Manuel ;
Terrier, Pierre .
JOURNAL OF CHEMICAL PHYSICS, 2017, 146 (19)
[5]   SOLVATION THERMODYNAMICS OF NONIONIC SOLUTES [J].
BENNAIM, A ;
MARCUS, Y .
JOURNAL OF CHEMICAL PHYSICS, 1984, 81 (04) :2016-2027
[6]   EFFICIENT ESTIMATION OF FREE-ENERGY DIFFERENCES FROM MONTE-CARLO DATA [J].
BENNETT, CH .
JOURNAL OF COMPUTATIONAL PHYSICS, 1976, 22 (02) :245-268
[7]   AVOIDING SINGULARITIES AND NUMERICAL INSTABILITIES IN FREE-ENERGY CALCULATIONS BASED ON MOLECULAR SIMULATIONS [J].
BEUTLER, TC ;
MARK, AE ;
VANSCHAIK, RC ;
GERBER, PR ;
VANGUNSTEREN, WF .
CHEMICAL PHYSICS LETTERS, 1994, 222 (06) :529-539
[8]   Optimal Weights in Serial Generalized-Ensemble Simulations [J].
Chelli, Riccardo .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2010, 6 (07) :1935-1950
[9]   Replica exchange and expanded ensemble simulations as Gibbs sampling: Simple improvements for enhanced mixing [J].
Chodera, John D. ;
Shirts, Michael R. .
JOURNAL OF CHEMICAL PHYSICS, 2011, 135 (19)
[10]   Path-ensemble averages in systems driven far from equilibrium [J].
Crooks, GE .
PHYSICAL REVIEW E, 2000, 61 (03) :2361-2366