Perez-Jimenez Raul, Godoy-Ruiz Raquel, Parody-Morreale Antonio, Ibarra-Molero Beatriz, Sanchez-Ruiz Jose M
Departamento de Quimica Fisica, Facultad de Ciencias, Universidad de Granada, Fuentenueva s/n, 18071-Granada, Spain.
Biophys Chem. 2006 Feb 1;119(3):240-6. doi: 10.1016/j.bpc.2005.09.010. Epub 2005 Oct 18.
The analysis of correlated mutations in protein sequence alignments is of considerable interest, since it may provide useful energetic and even structural information (ideally, residue contacts). However, a number of recent experimental studies support the existence of long-distance communication in proteins, a fact that may lead to correlation between distant residues. We introduce in this work a simple statistical procedure to describe the relation structure--alignments on the basis of the residue--residue distance dependence of the number of residue couples over given thresholds of a correlation measure (such as a covariance value). This procedure may lead to clear pictures of the distance distribution of correlated mutations and may provide a simple but efficient tool to explore the different structural features that are reflected in the sequence alignments.
蛋白质序列比对中相关突变的分析备受关注，因为它可能提供有用的能量甚至结构信息（理想情况下是残基接触信息）。然而，最近的一些实验研究支持蛋白质中存在长距离通信，这一事实可能导致远距离残基之间的相关性。在这项工作中，我们引入一种简单的统计方法，基于相关度量（如协方差值）在给定阈值下残基对数量的残基 - 残基距离依赖性来描述关系结构——比对。该方法可能得出相关突变距离分布的清晰图像，并可能提供一个简单但有效的工具来探索序列比对中反映的不同结构特征。
