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

Bioinformatics. 2019 Nov 1;35(22):4821-4823. doi: 10.1093/bioinformatics/btz437.

Abstract

Summary: Distinguishing 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 implementation: PRODIGY-CRYSTAL is freely available without registration requirements at https://haddock.science.uu.nl/services/PRODIGY-CRYSTAL.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computers*
  • Internet
  • Macromolecular Substances
  • Proteins
  • Software*

Substances

  • Macromolecular Substances
  • Proteins