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天然拓扑结构和链长标度在蛋白质折叠中的作用:使用类Go模型的模拟研究

Roles of native topology and chain-length scaling in protein folding: a simulation study with a Go-like model.

作者信息

Koga N, Takada S

机构信息

Graduate School of Science and Technology, Kobe University, Japan.

出版信息

J Mol Biol. 2001 Oct 12;313(1):171-80. doi: 10.1006/jmbi.2001.5037.

Abstract

We perform folding simulations on 18 small proteins with using a simple Go-like protein model and analyze the folding rate constants, characteristics of the transition state ensemble, and those of the denatured states in terms of native topology and chain length. Near the folding transition temperature, the folding rate k(F) scales as k(F) approximately exp(-c RCO N(0.6)) where RCO and N are the relative contact order and number of residues, respectively. Here the topology RCO dependence of the rates is close to that found experimentally (k(F) approximately exp(-c RCO)), while the chain length N dependence is in harmony with the predicted scaling property (k(F) approximately exp(-c N(2/3))). Thus, this may provides a unified scaling law in folding rates at the transition temperature, k(F) approximately exp(-c RCO N(2/3)). The degree of residual structure in the denatured state is highly correlated with RCO, namely, proteins with smaller RCO tend to have more ordered structure in the denatured state. This is consistent with the observation that many helical proteins such as myoglobin and protein A, have partial helices, in the denatured states. The characteristics of the transition state ensemble calculated by the current model, which uses native topology but not sequence specific information, are consistent with experimental phi-value data for about half of proteins.

摘要

我们使用一个简单的类Go蛋白质模型对18个小蛋白质进行折叠模拟,并根据天然拓扑结构和链长分析折叠速率常数、过渡态系综的特征以及变性态的特征。在折叠转变温度附近,折叠速率k(F)的标度关系为k(F)约为exp(-c RCO N(0.6)),其中RCO和N分别是相对接触序和残基数。此处,速率对拓扑RCO的依赖性与实验发现的情况相近(k(F)约为exp(-c RCO)),而对链长N的依赖性与预测的标度性质相符(k(F)约为exp(-c N(2/3)))。因此,这可能在转变温度下的折叠速率方面提供一个统一的标度定律,即k(F)约为exp(-c RCO N(2/3))。变性态中的残余结构程度与RCO高度相关,也就是说,RCO较小的蛋白质在变性态中往往具有更有序的结构。这与如下观察结果一致:许多螺旋蛋白,如肌红蛋白和蛋白A,在变性态中具有部分螺旋结构。当前模型计算得到的过渡态系综的特征,该模型使用天然拓扑结构但不使用序列特异性信息,约有一半的蛋白质与实验phi值数据相符。

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