Protein-Protein Docking Using Evolutionary Information

• Published in: Methods in molecular biology (Clifton, N.J.) Vol. 1764; p. 429
• Main Authors: Nadaradjane, Aravindan Arun, Guerois, Raphael, Andreani, Jessica
• Format: Journal Article
• Language: English
• Published: United States 2018
• Subjects: Adenylyl Cyclases - chemistry; Adenylyl Cyclases - metabolism; Algorithms; Evolution, Molecular; GTP-Binding Protein alpha Subunits, Gs - chemistry; GTP-Binding Protein alpha Subunits, Gs - metabolism; Molecular Docking Simulation; Proteasome Endopeptidase Complex - chemistry; Proteasome Endopeptidase Complex - metabolism; Protein Binding; Protein Conformation; Protein Interaction Domains and Motifs; Saccharomyces cerevisiae - metabolism; Saccharomyces cerevisiae Proteins - chemistry; Saccharomyces cerevisiae Proteins - metabolism; InterEvolAlign; InterEvDock; Complex interface; Evolutionary information; Protein scoring; Protein docking; Coevolution; Bioinformatics; Protein interactions; Protein structure
• ISSN: 1940-6029
• DOI: 10.1007/978-1-4939-7759-8_28

The structural modeling of protein complexes by docking simulations has been attracting increasing interest with the rise of proteomics and of the number of experimentally identified binary interactions. Structures of unbound partners, either modeled or experimentally determined, can be used as input to sample as extensively as possible all putative binding modes and single out the most plausible ones. At the scoring step, evolutionary information contained in the joint multiple sequence alignments of both partners can provide key insights to recognize correct interfaces. Here, we describe a computational protocol based on the InterEvDock web server to exploit coevolution constraints in protein-protein docking methods. We provide methodology guidelines to prepare the input protein structures and generate improved alignments. We also explain how to extract and use the information returned by the server through the analysis of two representative examples.