Calculating zeros: Non-equilibrium free energy calculations

被引:28
|
作者
Oostenbrink, C
van Gunsteren, WF [1 ]
机构
[1] ETH Honggerberg, Swiss Fed Inst Technol, Phys Chem Lab, CH-8093 Zurich, Switzerland
[2] Vrije Univ Amsterdam, Fac Sci, NL-1081 HV Amsterdam, Netherlands
关键词
free energy calculations; slow-growth; fast-growth; thermodynamic integration; free energy perturbation; GROMOS; Jarzynski equation;
D O I
10.1016/j.chemphys.2005.08.054
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
Free energy calculations on three model processes with theoretically known free energy changes have been performed using short simulation times. A comparison between equilibrium (thermodynamic integration) and non-equilibrium (fast growth) methods has been made in order to assess the accuracy and precision of these methods. The three processes have been chosen to represent processes often observed in biomolecular free energy calculations. They involve a redistribution of charges, the creation and annihilation of neutral particles and conformational changes. At very short overall simulation times, the thermodynamic integration approach using discrete steps is most accurate. More importantly, reasonable accuracy can be obtained using this method which seems independent of the overall simulation time. In cases where slow conformational changes play a role, fast growth simulations might have an advantage over discrete thermodynamic integration where sufficient sampling needs to be obtained at every lambda-point, but only if the initial conformations do properly represent an equilibrium ensemble. From these three test cases practical lessons can be learned that will be applicable to biomolecular free energy calculations. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:102 / 108
页数:7
相关论文
共 50 条
  • [21] A method to estimate the Gibbs free energy of non-equilibrium alloys by thermal analysis
    Linping Zhang
    Xianlei Song
    Yanyan Song
    Zhanbo Sun
    Qian Li
    Xiaoping Song
    Liqun Wang
    Journal of Thermal Analysis and Calorimetry, 2012, 110 : 1153 - 1160
  • [22] Free Energy Landscape of Biomolecules from Multiple Non-Equilibrium Molecular Simulations
    Sakuraba, Shun
    Kitao, Akio
    BIOPHYSICAL JOURNAL, 2009, 96 (03) : 406A - 406A
  • [23] A method to estimate the Gibbs free energy of non-equilibrium alloys by thermal analysis
    Zhang, Linping
    Song, Xianlei
    Song, Yanyan
    Sun, Zhanbo
    Li, Qian
    Song, Xiaoping
    Wang, Liqun
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2012, 110 (03) : 1153 - 1160
  • [24] Bidirectional path-based non-equilibrium simulations for binding free energy
    Ghidini, Alessia
    Serra, Eleonora
    Decherchi, Sergio
    Cavalli, Andrea
    MOLECULAR PHYSICS, 2024,
  • [25] A note on non-equilibrium work fluctuations and equilibrium free energies
    Kalyan, M. Suman
    Prasad, G. Anjan
    Sastry, V. S. S.
    Murthy, K. P. N.
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2011, 390 (07) : 1240 - 1247
  • [26] Calculations of equilibrium and non-equilibrium properties of molecule-cluster mixtures of oxygen
    Lev, Kurlapov
    Askar, Kassymov
    DYNAMICS OF MACHINES AND MECHANISMS, INDUSTRIAL RESEARCH, 2014, 592-594 : 82 - 86
  • [27] Equilibrium and non-equilibrium dynamics in random-energy landscapes
    Maass, P
    Rinn, B
    PHILOSOPHICAL MAGAZINE B-PHYSICS OF CONDENSED MATTER STATISTICAL MECHANICS ELECTRONIC OPTICAL AND MAGNETIC PROPERTIES, 2001, 81 (09): : 1249 - 1261
  • [28] Storage of Energy in Constrained Non-Equilibrium Systems
    Zhang, Yirui
    Gizynski, Konrad
    Maciolek, Anna
    Holyst, Robert
    ENTROPY, 2020, 22 (05)
  • [29] AVAILABLE ENERGY VIA NON-EQUILIBRIUM THERMODYNAMICS
    WOOLLETT, EL
    AMERICAN JOURNAL OF PHYSICS, 1979, 47 (03) : 250 - 258
  • [30] Non-equilibrium molecular dynamics simulation as a method of calculating thermodynamic coefficients
    Matsubara, Hiroki
    Kikugawa, Gota
    Bessho, Takeshi
    Yamashita, Seiji
    Ohara, Taku
    FLUID PHASE EQUILIBRIA, 2016, 421 : 1 - 8