Literature DB >> 20033914

Basic ingredients of free energy calculations: a review.

Clara D Christ1, Alan E Mark, Wilfred F van Gunsteren.   

Abstract

Methods to compute free energy differences between different states of a molecular system are reviewed with the aim of identifying their basic ingredients and their utility when applied in practice to biomolecular systems. A free energy calculation is comprised of three basic components: (i) a suitable model or Hamiltonian, (ii) a sampling protocol with which one can generate a representative ensemble of molecular configurations, and (iii) an estimator of the free energy difference itself. Alternative sampling protocols can be distinguished according to whether one or more states are to be sampled. In cases where only a single state is considered, six alternative techniques could be distinguished: (i) changing the dynamics, (ii) deforming the energy surface, (iii) extending the dimensionality, (iv) perturbing the forces, (v) reducing the number of degrees of freedom, and (vi) multi-copy approaches. In cases where multiple states are to be sampled, the three primary techniques are staging, importance sampling, and adiabatic decoupling. Estimators of the free energy can be classified as global methods that either count the number of times a given state is sampled or use energy differences. Or, they can be classified as local methods that either make use of the force or are based on transition probabilities. Finally, this overview of the available techniques and how they can be best used in a practical context is aimed at helping the reader choose the most appropriate combination of approaches for the biomolecular system, Hamiltonian and free energy difference of interest. Copyright 2009 Wiley Periodicals, Inc.

Mesh:

Year:  2010        PMID: 20033914     DOI: 10.1002/jcc.21450

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  80 in total

1.  Toward Learned Chemical Perception of Force Field Typing Rules.

Authors:  Camila Zanette; Caitlin C Bannan; Christopher I Bayly; Josh Fass; Michael K Gilson; Michael R Shirts; John D Chodera; David L Mobley
Journal:  J Chem Theory Comput       Date:  2018-12-24       Impact factor: 6.006

2.  Theory of binless multi-state free energy estimation with applications to protein-ligand binding.

Authors:  Zhiqiang Tan; Emilio Gallicchio; Mauro Lapelosa; Ronald M Levy
Journal:  J Chem Phys       Date:  2012-04-14       Impact factor: 3.488

3.  Investigation of differences in the binding affinities of two analogous ligands for untagged and tagged p38 kinase using thermodynamic integration MD simulation.

Authors:  Ying-Chieh Sun; Wen-Chi Hsu; Chia-Jen Hsu; Chia-Ming Chang; Kai-Hsiang Cheng
Journal:  J Mol Model       Date:  2015-10-08       Impact factor: 1.810

4.  Calculating Partition Coefficients of Small Molecules in Octanol/Water and Cyclohexane/Water.

Authors:  Caitlin C Bannan; Gaetano Calabró; Daisy Y Kyu; David L Mobley
Journal:  J Chem Theory Comput       Date:  2016-08-01       Impact factor: 6.006

5.  Molecular dynamics simulation and linear interaction energy study of D-Glu-based inhibitors of the MurD ligase.

Authors:  Andrej Perdih; Gerhard Wolber; Tom Solmajer
Journal:  J Comput Aided Mol Des       Date:  2013-08-30       Impact factor: 3.686

Review 6.  Identification of HIV inhibitors guided by free energy perturbation calculations.

Authors:  Orlando Acevedo; Zandrea Ambrose; Patrick T Flaherty; Hadega Aamer; Prashi Jain; Somisetti V Sambasivarao
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

7.  Lead optimization mapper: automating free energy calculations for lead optimization.

Authors:  Shuai Liu; Yujie Wu; Teng Lin; Robert Abel; Jonathan P Redmann; Christopher M Summa; Vivian R Jaber; Nathan M Lim; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2013-09-26       Impact factor: 3.686

8.  Fast side chain replacement in proteins using a coarse-grained approach for evaluating the effects of mutation during evolution.

Authors:  Johan A Grahnen; Jan Kubelka; David A Liberles
Journal:  J Mol Evol       Date:  2011-07-29       Impact factor: 2.395

9.  Accurate determination of the binding free energy for KcsA-charybdotoxin complex from the potential of mean force calculations with restraints.

Authors:  Po-Chia Chen; Serdar Kuyucak
Journal:  Biophys J       Date:  2011-05-18       Impact factor: 4.033

10.  Using Selectively Applied Accelerated Molecular Dynamics to Enhance Free Energy Calculations.

Authors:  Jeff Wereszczynski; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2010-10-13       Impact factor: 6.006

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