PRODIGY-crystal: a web-tool for classification of biological interfaces in protein complexes

• DOI: 10.1093/bioinformatics/btz437
• Publication Date: 2019-05-25T11:09:39Z
• Authors: Brian Jiménez-García; Katarina Elez; Panagiotis I Koukos; Alexandre Mjj Bonvin; Anna Vangone
• Keywords: Internet; 0303 health sciences; 03 medical and health sciences; Computers; Macromolecular Substances; Taverne; Proteins; Applications Notes; Software

AbstractSummaryDistinguishing biologically relevant interfaces from crystallographic ones in biological complexes is fundamental in order to associate cellular functions to the correct macromolecular assemblies. Recently, we described a detailed study reporting the differences in the type of intermolecular residue–residue contacts between biological and crystallographic interfaces. Our findings allowed us to develop a fast predictor of biological interfaces reaching an accuracy of 0.92 and competitive to the current state of the art. Here we present its web-server implementation, PRODIGY-CRYSTAL, aimed at the classification of biological and crystallographic interfaces. PRODIGY-CRYSTAL has the advantage of being fast, accurate and simple. This, together with its user-friendly interface and user support forum, ensures its broad accessibility.Availability and implementationPRODIGY-CRYSTAL is freely available without registration requirements at https://haddock.science.uu.nl/services/PRODIGY-CRYSTAL.