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力场开发与无规卷曲蛋白质模拟。

Force field development and simulations of intrinsically disordered proteins.

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn St., Baltimore, MD 21201, USA; Laboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, 5635 Fishers Lane, Rockville, MD 20852, USA.

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn St., Baltimore, MD 21201, USA.

出版信息

Curr Opin Struct Biol. 2018 Feb;48:40-48. doi: 10.1016/j.sbi.2017.10.008. Epub 2017 Nov 5.

DOI:10.1016/j.sbi.2017.10.008
PMID:29080468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5826789/
Abstract

Intrinsically disordered proteins (IDPs) play important roles in many physiological processes such as signal transduction and transcriptional regulation. Computer simulations that are based on empirical force fields have been increasingly used to understand the biophysics of disordered proteins. In this review, we focus on recent improvement of protein force fields, including polarizable force fields, concerning their accuracy in modeling intrinsically disordered proteins. Some recent benchmarks and applications of these force fields are also overviewed.

摘要

无规卷曲蛋白质(IDPs)在许多生理过程中发挥着重要作用,如信号转导和转录调控。基于经验力场的计算机模拟已越来越多地被用于理解无序蛋白质的生物物理学。在这篇综述中,我们重点介绍了蛋白质力场的最新改进,包括极化力场,以及它们在无序蛋白质建模方面的准确性。还概述了这些力场的一些最新基准和应用。

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本文引用的文献

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Mapping the Drude polarizable force field onto a multipole and induced dipole model.将 Drude 极化力场映射到多极和诱导偶极模型上。
J Chem Phys. 2017 Oct 28;147(16):161702. doi: 10.1063/1.4984113.
2
High-Resolution Structures of the Amyloid-β 1-42 Dimers from the Comparison of Four Atomistic Force Fields.四种原子力场对比分析得到的淀粉样β 1-42 二聚体的高分辨率结构
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3
Metadynamic metainference: Convergence towards force field independent structural ensembles of a disordered peptide.超动态元推断:无规多肽的力场独立结构集合的收敛。
J Chem Phys. 2017 Apr 28;146(16):165102. doi: 10.1063/1.4981211.
4
The IDP-Specific Force Field ff14IDPSFF Improves the Conformer Sampling of Intrinsically Disordered Proteins.特定于内在无序蛋白的力场ff14IDPSFF改善了内在无序蛋白的构象采样。
J Chem Inf Model. 2017 May 22;57(5):1166-1178. doi: 10.1021/acs.jcim.7b00135. Epub 2017 May 4.
5
Optimization of the GBMV2 implicit solvent force field for accurate simulation of protein conformational equilibria.优化 GBMV2 隐式溶剂力场以准确模拟蛋白质构象平衡。
J Comput Chem. 2017 Jun 15;38(16):1332-1341. doi: 10.1002/jcc.24734. Epub 2017 Apr 11.
6
Building a More Predictive Protein Force Field: A Systematic and Reproducible Route to AMBER-FB15.构建更具预测性的蛋白质力场:通往AMBER-FB15的系统且可重复的途径。
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7
Reparametrization of Protein Force Field Nonbonded Interactions Guided by Osmotic Coefficient Measurements from Molecular Dynamics Simulations.基于分子动力学模拟的渗透系数测量指导的蛋白质力场非键相互作用的重新参数化
J Chem Theory Comput. 2017 Apr 11;13(4):1812-1826. doi: 10.1021/acs.jctc.6b01059. Epub 2017 Mar 27.
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Computational and theoretical advances in studies of intrinsically disordered proteins.内在无序蛋白质研究中的计算与理论进展。
Curr Opin Struct Biol. 2017 Feb;42:147-154. doi: 10.1016/j.sbi.2017.01.006. Epub 2017 Mar 1.
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Simulations of disordered proteins and systems with conformational heterogeneity.具有构象异质性的无序蛋白质和系统的模拟。
Curr Opin Struct Biol. 2017 Apr;43:95-103. doi: 10.1016/j.sbi.2016.11.006. Epub 2016 Dec 15.
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CHARMM36m: an improved force field for folded and intrinsically disordered proteins.CHARMM36m:一种针对折叠蛋白和内在无序蛋白的改进力场。
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