Literature DB >> 14634991

Improving the efficiency and reliability of free energy perturbation calculations using overlap sampling methods.

Nandou Lu1, David A Kofke, Thomas B Woolf.   

Abstract

A challenge in free energy calculation for complex molecular systems by computer simulation is to obtain a reliable estimate within feasible computational time. In this study, we suggest an answer to this challenge by exploring a simple method, overlap sampling (OS), for producing reliable free-energy results in an efficient way. The formalism of the OS method is based on ensuring sampling of important overlapping phase space during perturbation calculations. This technique samples both forward and reverse free energy perturbation (FEP) to improve the free-energy calculation. It considers the asymmetry of the FEP calculation and features an ability to optimize both the precision and the accuracy of the measurement without affecting the simulation process itself. The OS method is tested at two optimization levels: no optimization (simple OS), and full optimization (equivalent to Bennett's method), and compared to conventional FEP techniques, including the widely used direct FEP averaging method, on three alchemical mutation systems: (a) an anion transformation in water solution, (b) mutation between methanol and ethane, and (c) alchemical change of an adenosine molecule. It is consistently shown that the reliability of free-energy estimates can be greatly improved using the OS techniques at both optimization levels, while the performance of Bennett's method is particularly striking. In addition, the efficiency of a calculation can be significantly improved because the method is able to (a) converge to the right answer quickly, and (b) work for large perturbations. The basic two-stage OS method can be extended to admit additional stages, if needed. We suggest that the OS method can be used as a general perturbation technique for computing free energy differences in molecular simulations. Copyright 2003 Wiley Periodicals, Inc. J Comput Chem 1: 28-39, 2004

Entities:  

Year:  2004        PMID: 14634991     DOI: 10.1002/jcc.10369

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


  37 in total

1.  Effects of Water Placement on Predictions of Binding Affinities for p38α MAP Kinase Inhibitors.

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Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

Review 2.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

3.  Application of a BOSS-Gaussian interface for QM/MM simulations of Henry and methyl transfer reactions.

Authors:  Jonah Z Vilseck; Jakub Kostal; Julian Tirado-Rives; William L Jorgensen
Journal:  J Comput Chem       Date:  2015-08-27       Impact factor: 3.376

4.  Probing a model of a GPCR/ligand complex in an explicit membrane environment: the human cholecystokinin-1 receptor.

Authors:  Jérôme Hénin; Bernard Maigret; Mounir Tarek; Chantal Escrieut; Daniel Fourmy; Christophe Chipot
Journal:  Biophys J       Date:  2005-12-02       Impact factor: 4.033

5.  Absolute FKBP binding affinities obtained via nonequilibrium unbinding simulations.

Authors:  F Marty Ytreberg
Journal:  J Chem Phys       Date:  2009-04-28       Impact factor: 3.488

6.  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

7.  A single mutation in a tunnel to the active site changes the mechanism and kinetics of product release in haloalkane dehalogenase LinB.

Authors:  Lada Biedermannová; Zbyněk Prokop; Artur Gora; Eva Chovancová; Mihály Kovács; Jiří Damborsky; Rebecca C Wade
Journal:  J Biol Chem       Date:  2012-06-28       Impact factor: 5.157

8.  Electrostatic interactions of Hsp-organizing protein tetratricopeptide domains with Hsp70 and Hsp90: computational analysis and protein engineering.

Authors:  Tommi Kajander; Jonathan N Sachs; Adrian Goldman; Lynne Regan
Journal:  J Biol Chem       Date:  2009-07-07       Impact factor: 5.157

9.  Energetics of displacing water molecules from protein binding sites: consequences for ligand optimization.

Authors:  Julien Michel; Julian Tirado-Rives; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2009-10-28       Impact factor: 15.419

10.  Quantifying the Binding Interaction between the Hypoxia-Inducible Transcription Factor and the von Hippel-Lindau Suppressor.

Authors:  Carmen Domene; Christian Jorgensen; Kenno Vanommeslaeghe; Christopher J Schofield; Alexander MacKerell
Journal:  J Chem Theory Comput       Date:  2015-08-11       Impact factor: 6.006

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