Literature DB >> 29547221

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

Jejoong Yoo1, Aleksei Aksimentiev2.   

Abstract

In contrast to ordinary polymers, the vast majority of biological macromolecules adopt highly ordered three-dimensional structures that define their functions. The key to folding of a biopolymer into a unique 3D structure or to an assembly of several biopolymers into a functional unit is a delicate balance between the attractive and repulsive forces that also makes such self-assembly reversible under physiological conditions. The all-atom molecular dynamics (MD) method has emerged as a powerful tool for studies of individual biomolecules and their functional assemblies, encompassing systems of ever increasing complexity. However, advances in parallel computing technology have outpaced the development of the underlying theoretical models-the molecular force fields, pushing the MD method into an untested territory. Recent tests of the MD method have found the most commonly used molecular force fields to be out of balance, overestimating attractive interactions between charged and hydrophobic groups, which can promote artificial aggregation in MD simulations of multi-component protein, nucleic acid, and lipid systems. One route towards improving the force fields is through the NBFIX corrections method, in which the intermolecular forces are calibrated against experimentally measured quantities such as osmotic pressure by making atom pair-specific adjustments to the non-bonded interactions. In this article, we review development of the NBFIX (Non-Bonded FIX) corrections to the AMBER and CHARMM force fields and discuss their implications for MD simulations of electrolyte solutions, dense DNA systems, Holliday junctions, protein folding, and lipid bilayer membranes.

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Year:  2018        PMID: 29547221      PMCID: PMC5874203          DOI: 10.1039/C7CP08185E

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  141 in total

1.  Random-coil behavior and the dimensions of chemically unfolded proteins.

Authors:  Jonathan E Kohn; Ian S Millett; Jaby Jacob; Bojan Zagrovic; Thomas M Dillon; Nikolina Cingel; Robin S Dothager; Soenke Seifert; P Thiyagarajan; Tobin R Sosnick; M Zahid Hasan; Vijay S Pande; Ingo Ruczinski; Sebastian Doniach; Kevin W Plaxco
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-16       Impact factor: 11.205

Review 2.  Hofmeister phenomena: an update on ion specificity in biology.

Authors:  Pierandrea Lo Nostro; Barry W Ninham
Journal:  Chem Rev       Date:  2012-01-17       Impact factor: 60.622

3.  Molecular dynamics simulations of the complete satellite tobacco mosaic virus.

Authors:  Peter L Freddolino; Anton S Arkhipov; Steven B Larson; Alexander McPherson; Klaus Schulten
Journal:  Structure       Date:  2006-03       Impact factor: 5.006

4.  Hydration water dynamics near biological interfaces.

Authors:  Margaret E Johnson; Cecile Malardier-Jugroot; Rajesh K Murarka; Teresa Head-Gordon
Journal:  J Phys Chem B       Date:  2009-04-02       Impact factor: 2.991

5.  Crystal structure of the nucleosome core particle at 2.8 A resolution.

Authors:  K Luger; A W Mäder; R K Richmond; D F Sargent; T J Richmond
Journal:  Nature       Date:  1997-09-18       Impact factor: 49.962

6.  Ion pairing in aqueous electrolyte solutions with biologically relevant anions.

Authors:  Pritam Ganguly; Pim Schravendijk; Berk Hess; Nico F A van der Vegt
Journal:  J Phys Chem B       Date:  2011-03-16       Impact factor: 2.991

7.  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

8.  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

Review 9.  PIP2 is a necessary cofactor for ion channel function: how and why?

Authors:  Byung-Chang Suh; Bertil Hille
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

10.  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
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  40 in total

1.  Recent Force Field Strategies for Intrinsically Disordered Proteins.

Authors:  Junxi Mu; Hao Liu; Jian Zhang; Ray Luo; Hai-Feng Chen
Journal:  J Chem Inf Model       Date:  2021-02-16       Impact factor: 4.956

2.  Electro-Mechanical Conductance Modulation of a Nanopore Using a Removable Gate.

Authors:  Shidi Zhao; Laura Restrepo-Pérez; Misha Soskine; Giovanni Maglia; Chirlmin Joo; Cees Dekker; Aleksei Aksimentiev
Journal:  ACS Nano       Date:  2019-02-08       Impact factor: 15.881

3.  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

4.  Choice of fluorophore affects dynamic DNA nanostructures.

Authors:  Kevin Jahnke; Helmut Grubmüller; Maxim Igaev; Kerstin Göpfrich
Journal:  Nucleic Acids Res       Date:  2021-04-19       Impact factor: 16.971

5.  Fast pressure-jump all-atom simulations and experiments reveal site-specific protein dehydration-folding dynamics.

Authors:  Maxim B Prigozhin; Yi Zhang; Klaus Schulten; Martin Gruebele; Taras V Pogorelov
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-05       Impact factor: 11.205

6.  Impact of Cholesterol Concentration and Lipid Phase on Structure and Fluctuation of Amyloid Precursor Protein.

Authors:  George A Pantelopulos; Afra Panahi; John E Straub
Journal:  J Phys Chem B       Date:  2020-11-02       Impact factor: 2.991

7.  Selectivity filter modalities and rapid inactivation of the hERG1 channel.

Authors:  Williams E Miranda; Kevin R DeMarco; Jiqing Guo; Henry J Duff; Igor Vorobyov; Colleen E Clancy; Sergei Yu Noskov
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-24       Impact factor: 11.205

8.  Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields.

Authors:  Dmitry Bedrov; Jean-Philip Piquemal; Oleg Borodin; Alexander D MacKerell; Benoît Roux; Christian Schröder
Journal:  Chem Rev       Date:  2019-05-29       Impact factor: 60.622

9.  Molecular Mechanism of Spontaneous Nucleosome Unraveling.

Authors:  David Winogradoff; Aleksei Aksimentiev
Journal:  J Mol Biol       Date:  2018-11-20       Impact factor: 5.469

10.  Dynamic Interactions between Lipid-Tethered DNA and Phospholipid Membranes.

Authors:  Patrick M Arnott; Himanshu Joshi; Aleksei Aksimentiev; Stefan Howorka
Journal:  Langmuir       Date:  2018-10-10       Impact factor: 3.882

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