title: Protein interactions in 3D: from interface evolution to drug discovery.
abstract: Over the past 10years, much research has been dedicated to the understanding of protein interactions. Large-scale experiments to elucidate the global structure of protein interaction networks have been complemented by detailed studies of protein interaction interfaces. Understanding the evolution of interfaces allows one to identify convergently evolved interfaces which are evolutionary unrelated but share a few key residues and hence have common binding partners. Understanding interaction interfaces and their evolution is an important basis for pharmaceutical applications in drug discovery. Here, we review the algorithms and databases on 3D protein interactions and discuss in detail applications in interface evolution, drug discovery, and interface prediction.
authors.affiliation: Biotechnology Center, Technische Universität Dresden, Tatzberg 47-51, 01307 Dresden, Germany.
authors.forename: Christof
authors.initials: C
authors.lastname: Winter
authors.forename: Andreas
authors.initials: A
authors.lastname: Henschel
authors.forename: Anne
authors.initials: A
authors.lastname: Tuukkanen
authors.forename: Michael
authors.initials: M
authors.lastname: Schroeder
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D030562:Databases, Protein; D055808:Drug Discovery; D019143:Evolution, Molecular; D006801:Humans; D008958:Models, Molecular; D011485:Protein Binding; D054730:Protein Interaction Domains and Motifs; D055503:Protein Multimerization; D020836:Protein Structure, Quaternary; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000235:genetics
chemical_list: D011506:Proteins