Predicting protein domain interactions from coevolution of conserved regions

共同进化 遗传算法 分歧(语言学) 蛋白质结构域 领域(数学分析) 功能(生物学) 计算生物学 生物 进化生物学 蛋白质功能 系统发育树 遗传学 基因 数学 数学分析 哲学 语言学
作者
Maricel G. Kann,Raja Jothi,Praveen F. Cherukuri,Teresa M. Przytycka
出处
期刊:Proteins [Wiley]
卷期号:67 (4): 811-820 被引量:46
标识
DOI:10.1002/prot.21347
摘要

Abstract The knowledge of protein and domain interactions provide crucial insights into their function within a cell. Several computational methods have been proposed to detect interactions between proteins and their constitutive domains. In this work, we focus on approaches based on correlated evolution (coevolution) of sequences of interacting proteins. In this type of approach, often referred to as the mirrortree method, a high correlation of evolutionary histories of two proteins is used as an indicator to predict protein interactions. Recently, it has been observed that subtracting the underlying speciation process by separating coevolution due to common speciation divergence from that due to common function of interacting pairs greatly improves the predictive power of the mirrortree approach. In this article, we investigate possible improvements and limitations of this method. In particular, we demonstrate that the performance of the mirrortree method that can be further improved by restricting the coevolution analysis to the relatively conserved regions in the protein domain sequences (disregarding highly divergent regions). We provide a theoretical validation of our results leading to new insights into the interplay between coevolution and speciation of interacting proteins. Proteins 2007. © 2007 Wiley‐Liss, Inc.

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