Center for Computational Biology and Bioinformatics, Department of Systems Biology;
Annu Rev Biophys. 2014;43:193-210. doi: 10.1146/annurev-biophys-051013-022726.
The past decade has seen a dramatic expansion in the number and range of techniques available to obtain genome-wide information and to analyze this information so as to infer both the functions of individual molecules and how they interact to modulate the behavior of biological systems. Here, we review these techniques, focusing on the construction of physical protein-protein interaction networks, and highlighting approaches that incorporate protein structure, which is becoming an increasingly important component of systems-level computational techniques. We also discuss how network analyses are being applied to enhance our basic understanding of biological systems and their disregulation, as well as how these networks are being used in drug development.
过去十年中,获取全基因组信息并对这些信息进行分析的技术数量和范围都有了显著的扩展,从而可以推断单个分子的功能以及它们如何相互作用来调节生物系统的行为。在这里,我们回顾了这些技术,重点介绍了构建物理蛋白质-蛋白质相互作用网络的方法,并强调了结合蛋白质结构的方法,蛋白质结构正成为系统级计算技术中越来越重要的组成部分。我们还讨论了如何应用网络分析来增强我们对生物系统及其失调的基本理解,以及这些网络如何在药物开发中得到应用。