Proteome-wide prediction of protein-protein interactions from high-throughput data.
In this paper, we present a brief review of the existing computational methods for predicting proteome-wide protein-protein interaction networks from high-throughput data. The availability of various types of omics data provides great opportunity and also unprecedented challenge to infer the interactome in cells. Reconstructing the interactome or interaction network is a crucial step for studying the functional relationship among proteins and the involved biological processes. The protein interaction network will provide valuable resources and alternatives to decipher the mechanisms of these functionally interacting elements as well as the running system of cellular operations. In this paper, we describe the main steps of predicting protein-protein interaction networks and categorize the available approaches to couple the physical and functional linkages. The future topics and the analyses beyond prediction are also discussed and concluded.
Key Laboratory of Systems Biology, SIBS-Novo Nordisk Translational Research Centre for PreDiabetes, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. zpliu@sibs.ac.cn
Zhi-Ping
ZP
Liu
Luonan
L
Chen
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D008954:Models, Biological; D054730:Protein Interaction Domains and Motifs; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D020543:Proteome / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics; D049490:Systems Biology
D020543:Proteome