Chapter 4: Protein Interactions and Disease

被引:192
作者
Gonzalez, Mileidy W. [1 ]
Kann, Maricel G. [2 ]
机构
[1] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20892 USA
[2] Univ Maryland, Baltimore, MD 21201 USA
基金
美国国家卫生研究院;
关键词
DOMAIN-DOMAIN INTERACTIONS; CO-EVOLUTIONARY ANALYSIS; TOPOLOGICAL FEATURES; INTERACTION NETWORK; REVEALS INSIGHTS; GENE; COEVOLUTION; PREDICTION; IDENTIFICATION; PHENOTYPES;
D O I
10.1371/journal.pcbi.1002819
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Proteins do not function in isolation; it is their interactions with one another and also with other molecules (e.g. DNA, RNA) that mediate metabolic and signaling pathways, cellular processes, and organismal systems. Due to their central role in biological function, protein interactions also control the mechanisms leading to healthy and diseased states in organisms. Diseases are often caused by mutations affecting the binding interface or leading to biochemically dysfunctional allosteric changes in proteins. Therefore, protein interaction networks can elucidate the molecular basis of disease, which in turn can inform methods for prevention, diagnosis, and treatment. In this chapter, we will describe the computational approaches to predict and map networks of protein interactions and briefly review the experimental methods to detect protein interactions. We will describe the application of protein interaction networks as a translational approach to the study of human disease and evaluate the challenges faced by these approaches.
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页数:11
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