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色氨酸笼(Trp-Cage)折叠途径的多样性和温度依赖性的动力学网络研究:结合转移路径理论和随机模拟。

Kinetic network study of the diversity and temperature dependence of Trp-Cage folding pathways: combining transition path theory with stochastic simulations.

机构信息

Department of Chemistry and Chemical Biology and BioMaPS Institute for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, New Jersey 08854, USA.

出版信息

J Phys Chem B. 2011 Feb 17;115(6):1512-23. doi: 10.1021/jp1089596. Epub 2011 Jan 21.

Abstract

We present a new approach to study a multitude of folding pathways and different folding mechanisms for the 20-residue mini-protein Trp-Cage using the combined power of replica exchange molecular dynamics (REMD) simulations for conformational sampling, transition path theory (TPT) for constructing folding pathways, and stochastic simulations for sampling the pathways in a high dimensional structure space. REMD simulations of Trp-Cage with 16 replicas at temperatures between 270 and 566 K are carried out with an all-atom force field (OPLSAA) and an implicit solvent model (AGBNP). The conformations sampled from all temperatures are collected. They form a discretized state space that can be used to model the folding process. The equilibrium population for each state at a target temperature can be calculated using the weighted-histogram-analysis method (WHAM). By connecting states with similar structures and creating edges satisfying detailed balance conditions, we construct a kinetic network that preserves the equilibrium population distribution of the state space. After defining the folded and unfolded macrostates, committor probabilities (P(fold)) are calculated by solving a set of linear equations for each node in the network and pathways are extracted together with their fluxes using the TPT algorithm. By clustering the pathways into folding "tubes", a more physically meaningful picture of the diversity of folding routes emerges. Stochastic simulations are carried out on the network, and a procedure is developed to project sampled trajectories onto the folding tubes. The fluxes through the folding tubes calculated from the stochastic trajectories are in good agreement with the corresponding values obtained from the TPT analysis. The temperature dependence of the ensemble of Trp-Cage folding pathways is investigated. Above the folding temperature, a large number of diverse folding pathways with comparable fluxes flood the energy landscape. At low temperature, however, the folding transition is dominated by only a few localized pathways.

摘要

我们提出了一种新的方法来研究 20 残基的 Trp-Cage 迷你蛋白的多种折叠途径和不同的折叠机制,该方法结合了 replica exchange 分子动力学 (REMD) 模拟进行构象采样、过渡态理论 (TPT) 构建折叠途径以及随机模拟在高维结构空间中采样途径的优势。在 270 到 566 K 之间的 16 个温度 replica 下使用全原子力场 (OPLSAA) 和隐式溶剂模型 (AGBNP) 对 Trp-Cage 进行 REMD 模拟。从所有温度下采样的构象被收集。它们形成了一个离散的状态空间,可以用来模拟折叠过程。可以使用加权直方图分析方法 (WHAM) 计算目标温度下每个状态的平衡种群。通过连接具有相似结构的状态并创建满足详细平衡条件的边,我们构建了一个保留状态空间平衡种群分布的动力学网络。在定义折叠和未折叠的宏观状态后,通过为网络中的每个节点求解一组线性方程来计算触变概率 (P(fold)),并使用 TPT 算法提取途径及其通量。通过将途径聚类到折叠“管”中,可以更直观地了解折叠途径的多样性。在网络上进行随机模拟,并开发了一种将采样轨迹投影到折叠管上的方法。从随机轨迹计算的穿过折叠管的通量与从 TPT 分析获得的相应值非常吻合。研究了 Trp-Cage 折叠途径的集合对温度的依赖性。在折叠温度以上,大量具有可比通量的不同折叠途径充斥着能量景观。然而,在低温下,折叠跃迁主要由少数局部途径主导。

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