Literature DB >> 27052117

Osmotic Pressure Simulations of Amino Acids and Peptides Highlight Potential Routes to Protein Force Field Parameterization.

Mark S Miller1, Wesley K Lay1, Adrian H Elcock1.   

Abstract

Recent molecular dynamics (MD) simulations of proteins have suggested that common force fields overestimate the strength of amino acid interactions in aqueous solution. In an attempt to determine the causes of these effects, we have measured the osmotic coefficients of a number of amino acids using the AMBER ff99SB-ILDN force field with two popular water models, and compared the results with available experimental data. With TIP4P-Ew water, interactions between aliphatic residues agree well with experiment, but interactions of the polar residues serine and threonine are found to be excessively attractive. For all tested amino acids, the osmotic coefficients are lower when the TIP3P water model is used. Additional simulations performed on charged amino acids indicate that the osmotic coefficients are strongly dependent on the parameters assigned to the salt ions, with a reparameterization of the sodium/carboxylate interaction reported by the Aksimentiev group significantly improving description of the osmotic coefficient for glutamate. For five neutral amino acids, we also demonstrate a decrease in solute-solute attractions using the recently reported TIP4P-D water model and using the KBFF force field. Finally, we show that for four two-residue peptides improved agreement with experiment can be achieved by rederiving the partial charges for each peptide.

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Year:  2016        PMID: 27052117      PMCID: PMC5088389          DOI: 10.1021/acs.jpcb.6b01902

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


  43 in total

1.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

2.  Molecular dynamics simulations of highly crowded amino acid solutions: comparisons of eight different force field combinations with experiment and with each other.

Authors:  Casey T Andrews; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-10-08       Impact factor: 6.006

3.  Influence of water-protein hydrogen bonding on the stability of Trp-cage miniprotein. A comparison between the TIP3P and TIP4P-Ew water models.

Authors:  Dietmar Paschek; Ryan Day; Angel E García
Journal:  Phys Chem Chem Phys       Date:  2011-08-15       Impact factor: 3.676

4.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

5.  The R.E.D. tools: advances in RESP and ESP charge derivation and force field library building.

Authors:  François-Yves Dupradeau; Adrien Pigache; Thomas Zaffran; Corentin Savineau; Rodolphe Lelong; Nicolas Grivel; Dimitri Lelong; Wilfried Rosanski; Piotr Cieplak
Journal:  Phys Chem Chem Phys       Date:  2010-06-23       Impact factor: 3.676

6.  Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements.

Authors:  Kyle A Beauchamp; Yu-Shan Lin; Rhiju Das; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2012-03-12       Impact factor: 6.006

7.  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

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.  Determination of alkali and halide monovalent ion parameters for use in explicitly solvated biomolecular simulations.

Authors:  In Suk Joung; Thomas E Cheatham
Journal:  J Phys Chem B       Date:  2008-07-02       Impact factor: 2.991

10.  Are current atomistic force fields accurate enough to study proteins in crowded environments?

Authors:  Drazen Petrov; Bojan Zagrovic
Journal:  PLoS Comput Biol       Date:  2014-05-22       Impact factor: 4.475

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  6 in total

Review 1.  Toward an understanding of biochemical equilibria within living cells.

Authors:  Germán Rivas; Allen P Minton
Journal:  Biophys Rev       Date:  2017-12-12

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

Authors:  Mark S Miller; Wesley K Lay; Shuxiang Li; William C Hacker; Jiadi An; Jianlan Ren; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2017-03-27       Impact factor: 6.006

3.  Integration of Experimental Data and Use of Automated Fitting Methods in Developing Protein Force Fields.

Authors:  Marcelo D Polêto; Justin A Lemkul
Journal:  Commun Chem       Date:  2022-03-18

4.  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 5.  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

6.  Improved model of hydrated calcium ion for molecular dynamics simulations using classical biomolecular force fields.

Authors:  Jejoong Yoo; James Wilson; Aleksei Aksimentiev
Journal:  Biopolymers       Date:  2016-10       Impact factor: 2.505

  6 in total

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