Literature DB >> 28296391

Reparametrization of Protein Force Field Nonbonded Interactions Guided by Osmotic Coefficient Measurements from Molecular Dynamics Simulations.

Mark S Miller1, Wesley K Lay1, Shuxiang Li1, William C Hacker1, Jiadi An1, Jianlan Ren1, Adrian H Elcock1.   

Abstract

There is a small, but growing, body of literature describing the use of osmotic coefficient measurements to validate and reparametrize simulation force fields. Here we have investigated the ability of five very commonly used force field and n class="Chemical">water model combinations to reproduce the osmotic coefficients of seven neutral amino acids and five small molecules. The force fields tested include AMBER ff99SB-ILDN, CHARMM36, GROMOS54a7, and OPLS-AA, with the first of these tested in conjunction with the TIP3P and TIP4P-Ew water models. In general, for both the amino acids and the small molecules, the tested force fields produce computed osmotic coefficients that are lower than experiment; this is indicative of excessively favorable solute-solute interactions. The sole exception to this general trend is provided by GROMOS54a7 when applied to amino acids: in this case, the computed osmotic coefficients are consistently too high. Importantly, we show that all of the force fields tested can be made to accurately reproduce the experimental osmotic coefficients of the amino acids when minor modifications-some previously reported by others and some that are new to this study-are made to the van der Waals interactions of the charged terminal groups. Special care is required, however, when simulating Proline with a number of the force fields, and a hydroxyl-group specific modification is required in order to correct Serine and Threonine when simulated with AMBER ff99SB-ILDN. Interestingly, an alternative parametrization of the van der Waals interactions in the latter force field, proposed by the Nerenberg and Head-Gordon groups, is shown to immediately produce osmotic coefficients that are in excellent agreement with experiment. Overall, this study reinforces the idea that osmotic coefficient measurements can be used to identify general shortcomings in commonly used force fields' descriptions of solute-solute interactions and further demonstrates that modifications to van der Waals parameters provide a simple route to optimizing agreement with experiment.

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Year:  2017        PMID: 28296391      PMCID: PMC5543770          DOI: 10.1021/acs.jctc.6b01059

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  52 in total

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Authors:  Sylvia E McLain; Alan K Soper; Isabella Daidone; Jeremy C Smith; Anthony Watts
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Journal:  Phys Chem Chem Phys       Date:  2010-06-23       Impact factor: 3.676

4.  Theory and Simulation of Multicomponent Osmotic Systems.

Authors:  Sadish Karunaweera; Moon Bae Gee; Samantha Weerasinghe; Paul E Smith
Journal:  J Chem Theory Comput       Date:  2012-10-09       Impact factor: 6.006

5.  Reparameterization of Solute-Solute Interactions for Amino Acid-Sugar Systems Using Isopiestic Osmotic Pressure Molecular Dynamics Simulations.

Authors:  Wesley K Lay; Mark S Miller; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2017-04-28       Impact factor: 6.006

6.  Implementation of the CHARMM Force Field in GROMACS: Analysis of Protein Stability Effects from Correction Maps, Virtual Interaction Sites, and Water Models.

Authors:  Pär Bjelkmar; Per Larsson; Michel A Cuendet; Berk Hess; Erik Lindahl
Journal:  J Chem Theory Comput       Date:  2010-01-25       Impact factor: 6.006

7.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

8.  Improved side-chain torsion potentials for the Amber ff99SB protein force field.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Kim Palmo; Paul Maragakis; John L Klepeis; Ron O Dror; David E Shaw
Journal:  Proteins       Date:  2010-06

9.  Dipeptide Aggregation in Aqueous Solution from Fixed Point-Charge Force Fields.

Authors:  Andreas W Götz; Denis Bucher; Steffen Lindert; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2014-03-04       Impact factor: 6.006

10.  Multisite ion model in concentrated solutions of divalent cations (MgCl2 and CaCl2): osmotic pressure calculations.

Authors:  Akansha Saxena; Angel E García
Journal:  J Phys Chem B       Date:  2014-12-22       Impact factor: 2.991

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  7 in total

Review 1.  Force field development and simulations of intrinsically disordered proteins.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  Curr Opin Struct Biol       Date:  2017-11-05       Impact factor: 6.809

2.  Improving the Performance of the Amber RNA Force Field by Tuning the Hydrogen-Bonding Interactions.

Authors:  Petra Kührová; Vojtěch Mlýnský; Marie Zgarbová; Miroslav Krepl; Giovanni Bussi; Robert B Best; Michal Otyepka; Jiří Šponer; Pavel Banáš
Journal:  J Chem Theory Comput       Date:  2019-04-02       Impact factor: 6.006

3.  Reparameterization of Solute-Solute Interactions for Amino Acid-Sugar Systems Using Isopiestic Osmotic Pressure Molecular Dynamics Simulations.

Authors:  Wesley K Lay; Mark S Miller; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2017-04-28       Impact factor: 6.006

Review 4.  New tricks for old dogs: improving the accuracy of biomolecular force fields by pair-specific corrections to non-bonded interactions.

Authors:  Jejoong Yoo; Aleksei Aksimentiev
Journal:  Phys Chem Chem Phys       Date:  2018-03-28       Impact factor: 3.676

5.  NEDD8 Deamidation Inhibits Cullin RING Ligase Dynamics.

Authors:  Priyesh Mohanty; Kiran Sankar Chatterjee; Ranabir Das
Journal:  Front Immunol       Date:  2021-08-17       Impact factor: 7.561

6.  Coarse-Grained Molecular Model for the Glycosylphosphatidylinositol Anchor with and without Protein.

Authors:  Pallavi Banerjee; Reinhard Lipowsky; Mark Santer
Journal:  J Chem Theory Comput       Date:  2020-05-26       Impact factor: 6.006

7.  The automated optimisation of a coarse-grained force field using free energy data.

Authors:  Javier Caceres-Delpiano; Lee-Ping Wang; Jonathan W Essex
Journal:  Phys Chem Chem Phys       Date:  2021-11-10       Impact factor: 3.676

  7 in total

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