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A First Look at the Co-evolution Modules in Drosophila Genome

机译:首先了解果蝇基因组中的协同进化模块。

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@@The prediction of protein-protein interaction (PPI) has become a major issue of bioinformatics, and many methodologies were developed to accurately predict PPI using sequences data, gene expression data et al. Pazos and Valencia proposed a PPI prediction method using protein evolution information called Mirror Tree Method (MT Method) in 2001. It assumed that PPI is a key determinant of molecular function thus can constrain the genetic mutation of both interacting proteins. It calculated and compared the co-evolution index of interacting and noninteracting protein pairs by construction of phylogenetic trees and calculation of distance matrices in different organisms. The co-evolution index was defined as the Pearson's correlation of two distance matrixes of two proteins. Since it has been well known that proteins work together to form functional modules and pathways in vivo, it is reasonable to raise the assumption that the coevolution phenomenon may also happen in modules and pathways.
机译:蛋白质-蛋白质相互作用(PPI)的预测已成为生物信息学的主要问题,并且开发了许多方法来使用序列数据,基因表达数据等准确地预测PPI。 Pazos和Valencia在2001年提出了一种利用蛋白质进化信息的PPI预测方法,称为Mirror Tree方法(MT方法)。假定PPI是分子功能的关键决定因素,因此可以限制两个相互作用蛋白质的遗传突变。它通过构建系统树并计算不同生物体中的距离矩阵来计算和比较相互作用和非相互作用蛋白对的协同进化指数。协同进化指数定义为两种蛋白质的两个距离矩阵的皮尔逊相关性。由于众所周知,蛋白质在体内共同作用以形成功能性模块和途径,因此有理由提出这样的假设,即协同进化现象也可能在模块和途径中发生。

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