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本文引用的文献

1
Collective variables for the study of long-time kinetics from molecular trajectories: theory and methods.用于从分子轨迹研究长时间动力学的集体变量:理论与方法
Curr Opin Struct Biol. 2017 Apr;43:141-147. doi: 10.1016/j.sbi.2017.02.006. Epub 2017 Mar 17.
2
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。
J Phys Chem B. 2017 Apr 27;121(16):4023-4039. doi: 10.1021/acs.jpcb.7b02320. Epub 2017 Apr 6.
3
Identification of simple reaction coordinates from complex dynamics.从复杂动力学中识别简单反应坐标。
J Chem Phys. 2017 Jan 28;146(4):044109. doi: 10.1063/1.4974306.
4
MSMBuilder: Statistical Models for Biomolecular Dynamics.MSMBuilder:生物分子动力学的统计模型。
Biophys J. 2017 Jan 10;112(1):10-15. doi: 10.1016/j.bpj.2016.10.042.
5
Structural Ensembles of Intrinsically Disordered Proteins Depend Strongly on Force Field: A Comparison to Experiment.内在无序蛋白质的结构集合强烈依赖于力场:与实验的比较。
J Chem Theory Comput. 2015 Nov 10;11(11):5513-24. doi: 10.1021/acs.jctc.5b00736. Epub 2015 Oct 22.
6
Kinetic distance and kinetic maps from molecular dynamics simulation.分子动力学模拟中的动力学距离和动力学图谱。
J Chem Theory Comput. 2015 Oct 13;11(10):5002-11. doi: 10.1021/acs.jctc.5b00553. Epub 2015 Sep 11.
7
MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories.MDTraj:用于分析分子动力学轨迹的现代开放库。
Biophys J. 2015 Oct 20;109(8):1528-32. doi: 10.1016/j.bpj.2015.08.015.
8
Building Force Fields: An Automatic, Systematic, and Reproducible Approach.构建力场:一种自动、系统且可重复的方法。
J Phys Chem Lett. 2014 Jun 5;5(11):1885-91. doi: 10.1021/jz500737m. Epub 2014 May 16.
9
Dynamic properties of force fields.力场的动态特性。
J Chem Phys. 2015 Feb 28;142(8):084101. doi: 10.1063/1.4909549.
10
On the Application of Molecular-Dynamics Based Markov State Models to Functional Proteins.基于分子动力学的马尔可夫状态模型在功能蛋白质中的应用
J Chem Theory Comput. 2014 Jul 8;10(7):2648-2657. doi: 10.1021/ct5002363.

模拟 CLN025 β-发夹结构形成的机制。

Modeling the mechanism of CLN025 beta-hairpin formation.

机构信息

Department of Chemistry, Stanford University, Stanford, California 94305, USA.

出版信息

J Chem Phys. 2017 Sep 14;147(10):104107. doi: 10.1063/1.4993207.

DOI:10.1063/1.4993207
PMID:28915754
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5597441/
Abstract

Beta-hairpins are substructures found in proteins that can lend insight into more complex systems. Furthermore, the folding of beta-hairpins is a valuable test case for benchmarking experimental and theoretical methods. Here, we simulate the folding of CLN025, a miniprotein with a beta-hairpin structure, at its experimental melting temperature using a range of state-of-the-art protein force fields. We construct Markov state models in order to examine the thermodynamics, kinetics, mechanism, and rate-determining step of folding. Mechanistically, we find the folding process is rate-limited by the formation of the turn region hydrogen bonds, which occurs following the downhill hydrophobic collapse of the extended denatured protein. These results are presented in the context of established and contradictory theories of the beta-hairpin folding process. Furthermore, our analysis suggests that the AMBER-FB15 force field, at this temperature, best describes the characteristics of the full experimental CLN025 conformational ensemble, while the AMBER ff99SB-ILDN and CHARMM22* force fields display a tendency to overstabilize the native state.

摘要

β发夹是蛋白质中发现的亚结构,可以深入了解更复杂的系统。此外,β发夹的折叠是实验和理论方法基准测试的一个有价值的案例。在这里,我们使用一系列最先进的蛋白质力场来模拟实验熔化温度下具有β发夹结构的 CLN025 小蛋白的折叠。我们构建了马尔可夫状态模型,以研究折叠的热力学、动力学、机制和速率决定步骤。从机制上讲,我们发现折叠过程受到转角区域氢键形成的限制,这发生在伸展变性蛋白的疏水塌陷之后。这些结果是在已建立的和矛盾的β发夹折叠过程理论的背景下提出的。此外,我们的分析表明,在该温度下,AMBER-FB15 力场最能描述完整实验 CLN025 构象总体的特征,而 AMBER ff99SB-ILDN 和 CHARMM22* 力场则显示出过度稳定天然状态的趋势。