Literature DB >> 17949030

Accurate and efficient corrections for missing dispersion interactions in molecular simulations.

Michael R Shirts1, David L Mobley, John D Chodera, Vijay S Pande.   

Abstract

In simulations, molecular dispersion interactions are frequently neglected beyond a cutoff of around 1 nm. In some cases, analytical corrections appropriate for isotropic systems are applied to the pressure and/or the potential energy. Here, we show that in systems containing macromolecules, either of these approaches introduce statistically significant errors in some observed properties; for example, the choice of cutoff can affect computed free energies of ligand binding to proteins by 1 to 2 kcal/mol. We review current methods for eliminating this cutoff-dependent behavior of the dispersion energy and identify some situations where they fail. We introduce two new formalisms, appropriate for binding free energy calculations, which overcome these failings, requiring minimal computational effort beyond the time required to run the original simulation. When these cutoff approximations are applied, which can be done after all simulations are completed, results are consistent across simulations run with different cutoffs. In many situations, simulations can be run with even shorter cutoffs than typically used, resulting in increased computational efficiency.

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Year:  2007        PMID: 17949030     DOI: 10.1021/jp0735987

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  62 in total

1.  Multipole electrostatics in hydration free energy calculations.

Authors:  Yue Shi; Chuanjie Wu; Jay W Ponder; Pengyu Ren
Journal:  J Comput Chem       Date:  2010-10-05       Impact factor: 3.376

2.  Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.

Authors:  Pavel V Klimovich; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2010-04-06       Impact factor: 3.686

Review 3.  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

4.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

5.  The SAMPL5 host-guest challenge: computing binding free energies and enthalpies from explicit solvent simulations by the attach-pull-release (APR) method.

Authors:  Jian Yin; Niel M Henriksen; David R Slochower; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-16       Impact factor: 3.686

6.  A smoothly decoupled particle interface: new methods for coupling explicit and implicit solvent.

Authors:  Jason A Wagoner; Vijay S Pande
Journal:  J Chem Phys       Date:  2011-06-07       Impact factor: 3.488

7.  Predicting the excess solubility of acetanilide, acetaminophen, phenacetin, benzocaine, and caffeine in binary water/ethanol mixtures via molecular simulation.

Authors:  Andrew S Paluch; Sreeja Parameswaran; Shuai Liu; Anasuya Kolavennu; David L Mobley
Journal:  J Chem Phys       Date:  2015-01-28       Impact factor: 3.488

8.  Statistical Uncertainty Analysis for Small-Sample, High Log-Variance Data: Cautions for Bootstrapping and Bayesian Bootstrapping.

Authors:  Barmak Mostofian; Daniel M Zuckerman
Journal:  J Chem Theory Comput       Date:  2019-05-07       Impact factor: 6.006

9.  Escaping Atom Types in Force Fields Using Direct Chemical Perception.

Authors:  David L Mobley; Caitlin C Bannan; Andrea Rizzi; Christopher I Bayly; John D Chodera; Victoria T Lim; Nathan M Lim; Kyle A Beauchamp; David R Slochower; Michael R Shirts; Michael K Gilson; Peter K Eastman
Journal:  J Chem Theory Comput       Date:  2018-10-30       Impact factor: 6.006

10.  Computational fragment-based binding site identification by ligand competitive saturation.

Authors:  Olgun Guvench; Alexander D MacKerell
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

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