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预测蛋白质折叠途径。

Predicting protein folding pathways.

作者信息

Zaki Mohammed J, Nadimpally Vinay, Bardhan Deb, Bystroff Chris

机构信息

Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

出版信息

Bioinformatics. 2004 Aug 4;20 Suppl 1:i386-93. doi: 10.1093/bioinformatics/bth935.

Abstract

A structured folding pathway, which is a time ordered sequence of folding events, plays an important role in the protein folding process and hence, in the conformational search. Pathway prediction, thus gives more insight into the folding process and is a valuable guiding tool to search the conformation space. In this paper, we propose a novel 'unfolding' approach to predict the folding pathway. We apply graph-based methods on a weighted secondary structure graph of a protein to predict the sequence of unfolding events. When viewed in reverse this yields the folding pathway. We demonstrate the success of our approach on several proteins whose pathway is partially known.

摘要

一种结构化的折叠途径,即折叠事件按时间顺序排列的序列,在蛋白质折叠过程中起着重要作用,因此在构象搜索中也很重要。因此,途径预测能更深入地了解折叠过程,是搜索构象空间的宝贵指导工具。在本文中,我们提出了一种新颖的“展开”方法来预测折叠途径。我们将基于图的方法应用于蛋白质的加权二级结构图,以预测展开事件的序列。反过来看,这就产生了折叠途径。我们在几种部分已知其途径的蛋白质上证明了我们方法的成功。

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