Literature DB >> 26617092

PACE Force Field for Protein Simulations. 1. Full Parameterization of Version 1 and Verification.

Wei Han1, Cheuk-Kin Wan1, Fan Jiang1, Yun-Dong Wu1.   

Abstract

A further parametrization of a united-atom protein model coupled with coarse-grained water has been carried out to cover all amino acids (AAs). The local conformational features of each AA have been fitted on the basis of restricted coil-library statistics of high-resolution X-ray crystal structures of proteins. Potential functions were developed on the basis of combined backbone and side chain rotamer conformational preferences, or rotamer Ramachandran plots (ϕ, Ψ, χ1). Side chain-side chain and side chain-backbone interaction potentials were parametrized to fit the potential mean forces of corresponding all-atom simulations. The force field has been applied in molecular dynamics simulations of several proteins of 56-108 AA residues whose X-ray crystal and/or NMR structures are available. Starting from the crystal structures, each protein was simulated for about 100 ns. The Cα RMSDs of the calculated structures are 2.4-4.2 Å with respect to the crystal and/or NMR structures, which are still larger than but close to those of all-atom simulations (1.1-3.6 Å). Starting from the PDB structure of malate synthase G of 723 AA residues, the wall-clock time of a 30 ns simulation is about three days on a 2.65 GHz dual-core CPU. The RMSD to the experimental structure is about 4.3 Å. These results implicate the applicability of the force field in the study of protein structures.

Entities:  

Year:  2010        PMID: 26617092     DOI: 10.1021/ct1003127

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


  21 in total

1.  Coarse-grained simulations of conformational changes in the multidrug efflux transporter AcrB.

Authors:  Yead Jewel; Jin Liu; Prashanta Dutta
Journal:  Mol Biosyst       Date:  2017-09-26

2.  Transient β-hairpin formation in α-synuclein monomer revealed by coarse-grained molecular dynamics simulation.

Authors:  Hang Yu; Wei Han; Wen Ma; Klaus Schulten
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

3.  Characterization of Lipid-Protein Interactions and Lipid-Mediated Modulation of Membrane Protein Function through Molecular Simulation.

Authors:  Melanie P Muller; Tao Jiang; Chang Sun; Muyun Lihan; Shashank Pant; Paween Mahinthichaichan; Anda Trifan; Emad Tajkhorshid
Journal:  Chem Rev       Date:  2019-04-12       Impact factor: 60.622

4.  Evaluation of the hybrid resolution PACE model for the study of folding, insertion, and pore formation of membrane associated peptides.

Authors:  Michael D Ward; Shivangi Nangia; Eric R May
Journal:  J Comput Chem       Date:  2017-01-19       Impact factor: 3.376

5.  Substrate-dependent transport mechanism in AcrB of multidrug resistant bacteria.

Authors:  Yead Jewel; Quyen Van Dinh; Jin Liu; Prashanta Dutta
Journal:  Proteins       Date:  2020-02-08

6.  How Does Hyperphopsphorylation Promote Tau Aggregation and Modulate Filament Structure and Stability?

Authors:  Liang Xu; Jie Zheng; Martin Margittai; Ruth Nussinov; Buyong Ma
Journal:  ACS Chem Neurosci       Date:  2016-02-24       Impact factor: 4.418

7.  Further optimization of a hybrid united-atom and coarse-grained force field for folding simulations: Improved backbone hydration and interactions between charged side chains.

Authors:  Wei Han; Klaus Schulten
Journal:  J Chem Theory Comput       Date:  2012-10-11       Impact factor: 6.006

8.  Characterization of folding mechanisms of Trp-cage and WW-domain by network analysis of simulations with a hybrid-resolution model.

Authors:  Wei Han; Klaus Schulten
Journal:  J Phys Chem B       Date:  2013-08-19       Impact factor: 2.991

9.  Hybrid resolution molecular dynamics simulations of amyloid proteins interacting with membranes.

Authors:  Mohtadin Hashemi; Yuri L Lyubchenko
Journal:  Methods       Date:  2021-03-13       Impact factor: 3.608

10.  A generic force field for protein coarse-grained molecular dynamics simulation.

Authors:  Junfeng Gu; Fang Bai; Honglin Li; Xicheng Wang
Journal:  Int J Mol Sci       Date:  2012-11-08       Impact factor: 5.923

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