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本文引用的文献

1
Temperature weighted histogram analysis method, replica exchange, and transition paths.温度加权直方图分析方法、副本交换和转变路径。
J Phys Chem B. 2005 Apr 14;109(14):6722-31. doi: 10.1021/jp045294f.
2
The protein folding network.蛋白质折叠网络
J Mol Biol. 2004 Sep 3;342(1):299-306. doi: 10.1016/j.jmb.2004.06.063.
3
Folding of the GB1 hairpin peptide from discrete path sampling.通过离散路径采样对GB1发夹肽进行折叠。
J Chem Phys. 2004 Jul 8;121(2):1080-90. doi: 10.1063/1.1759317.
4
Using path sampling to build better Markovian state models: predicting the folding rate and mechanism of a tryptophan zipper beta hairpin.使用路径采样构建更好的马尔可夫状态模型:预测色氨酸拉链β发夹的折叠速率和机制。
J Chem Phys. 2004 Jul 1;121(1):415-25. doi: 10.1063/1.1738647.
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Complex folding pathways in a simple beta-hairpin.简单β-发夹中的复杂折叠途径
Proteins. 2004 Aug 15;56(3):464-74. doi: 10.1002/prot.20127.
6
Free energy surfaces of beta-hairpin and alpha-helical peptides generated by replica exchange molecular dynamics with the AGBNP implicit solvent model.使用AGBNP隐式溶剂模型通过副本交换分子动力学生成的β-发夹和α-螺旋肽的自由能表面。
Proteins. 2004 Aug 1;56(2):310-21. doi: 10.1002/prot.20104.
7
The non-polar solvent potential of mean force for the dimerization of alanine dipeptide: the role of solute-solvent van der Waals interactions.丙氨酸二肽二聚化的平均力非极性溶剂势:溶质 - 溶剂范德华相互作用的作用
Biophys Chem. 2004 May 1;109(2):251-60. doi: 10.1016/j.bpc.2003.11.007.
8
AGBNP: an analytic implicit solvent model suitable for molecular dynamics simulations and high-resolution modeling.AGBNP:一种适用于分子动力学模拟和高分辨率建模的解析隐式溶剂模型。
J Comput Chem. 2004 Mar;25(4):479-99. doi: 10.1002/jcc.10400.
9
Transition-path sampling of beta-hairpin folding.β-发夹折叠的过渡路径采样
Proc Natl Acad Sci U S A. 2003 Oct 14;100(21):12129-34. doi: 10.1073/pnas.1534924100. Epub 2003 Oct 1.
10
On the nonpolar hydration free energy of proteins: surface area and continuum solvent models for the solute-solvent interaction energy.关于蛋白质的非极性水化自由能:溶质 - 溶剂相互作用能的表面积和连续介质溶剂模型
J Am Chem Soc. 2003 Aug 6;125(31):9523-30. doi: 10.1021/ja029833a.

来自副本交换模拟和动力学网络模型的蛋白质折叠途径。

Protein folding pathways from replica exchange simulations and a kinetic network model.

作者信息

Andrec Michael, Felts Anthony K, Gallicchio Emilio, Levy Ronald M

机构信息

Department of Chemistry and Chemical Biology and BIOMAPS Institute for Quantitative Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

出版信息

Proc Natl Acad Sci U S A. 2005 May 10;102(19):6801-6. doi: 10.1073/pnas.0408970102. Epub 2005 Mar 30.

DOI:10.1073/pnas.0408970102
PMID:15800044
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1100763/
Abstract

We present an approach to the study of protein folding that uses the combined power of replica exchange simulations and a network model for the kinetics. We carry out replica exchange simulations to generate a large ( approximately 10(6)) set of states with an all-atom effective potential function and construct a kinetic model for folding, using an ansatz that allows kinetic transitions between states based on structural similarity. We use this network to perform random walks in the state space and examine the overall network structure. Results are presented for the C-terminal peptide from the B1 domain of protein G. The kinetics is two-state after small temperature perturbations. However, the coil-to-hairpin folding is dominated by pathways that visit metastable helical conformations. We propose possible mechanisms for the alpha-helix/beta-hairpin interconversion.

摘要

我们提出了一种研究蛋白质折叠的方法,该方法利用了副本交换模拟和动力学网络模型的联合力量。我们进行副本交换模拟,以使用全原子有效势函数生成大量(约10^6)的状态集,并使用一种假设构建折叠的动力学模型,该假设允许基于结构相似性在状态之间进行动力学转变。我们使用这个网络在状态空间中进行随机游走,并检查整体网络结构。给出了来自蛋白质G的B1结构域的C末端肽的结果。在小的温度扰动后,动力学是两态的。然而,从无规卷曲到发夹的折叠主要由访问亚稳螺旋构象的途径主导。我们提出了α-螺旋/β-发夹相互转换的可能机制。