Literature DB >> 31613621

Residue-Specific Force Field Improving the Sample of Intrinsically Disordered Proteins and Folded Proteins.

Sheng Yang1, Hao Liu1, Yangpeng Zhang1, Hui Lu1,2, Haifeng Chen1,3.   

Abstract

Intrinsically disordered proteins and regions (IDPs and IDRs) have attracted increasing interest with their abundance in the human proteome and critical roles in various human diseases. However, the characterization of structural dynamics of IDPs presents a challenge to general experimental methods due to their highly heterogeneous ensembles. Molecular dynamics (MD) simulation has been an alternative method with recent advances in computation power. Nevertheless, it is imperative that eligible predictions are determined by a highly precise force field, but traditional force fields sometimes give a collapsed disorder structure and overestimate the stability of IDPs. Here, we present a novel residue-specific force field, OPLSIDPSFF, to correct backbone dihedral terms for all 20 natural amino acids based on OPLS-AA/L. Extensive tests of 11 IDPs and two short peptides show that the simulated chemical shifts and J-coupling with the OPLSIDPSFF force field are in quantitative agreement with those from NMR experimental observables and are more accurate than the base generic force field. The influences of solvent models were also investigated, and it was found that TIP4P-D water had positive effects on limited observables. Furthermore, OPLSIDPSFF can still be used to model structural and dynamic properties of two tested folded proteins and fast-folding proteins. These findings confirm that the newly developed residue-specific force field OPLSIDPSFF can improve the conformer sampling of intrinsically disordered and folded proteins.

Entities:  

Year:  2019        PMID: 31613621     DOI: 10.1021/acs.jcim.9b00647

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  7 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.  Computational Models for the Study of Protein Aggregation.

Authors:  Nguyen Truong Co; Mai Suan Li; Pawel Krupa
Journal:  Methods Mol Biol       Date:  2022

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.  The structural heterogeneity of α-synuclein is governed by several distinct subpopulations with interconversion times slower than milliseconds.

Authors:  Jiaxing Chen; Sofia Zaer; Paz Drori; Joanna Zamel; Khalil Joron; Nir Kalisman; Eitan Lerner; Nikolay V Dokholyan
Journal:  Structure       Date:  2021-05-19       Impact factor: 5.871

Review 5.  Advanced Sampling Methods for Multiscale Simulation of Disordered Proteins and Dynamic Interactions.

Authors:  Xiping Gong; Yumeng Zhang; Jianhan Chen
Journal:  Biomolecules       Date:  2021-09-28

Review 6.  Folding and self-assembly of short intrinsically disordered peptides and protein regions.

Authors:  Pablo G Argudo; Juan J Giner-Casares
Journal:  Nanoscale Adv       Date:  2021-01-18

7.  Balanced Force Field ff03CMAP Improving the Dynamics Conformation Sampling of Phosphorylation Site.

Authors:  Bozitao Zhong; Ge Song; Hai-Feng Chen
Journal:  Int J Mol Sci       Date:  2022-09-25       Impact factor: 6.208

  7 in total

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