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

Publication date

2019-05-29

Authors

Jiménez-García, BrianISNI 0000000492896309
Elez, Katarina
Koukos, PanagiotisISNI 0000000492900320
Bonvin, A.M.J.J.ORCID 0000-0001-7369-1322ISNI 0000000396501354
Vangone, A.ISNI 0000000506294764

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Abstract

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.

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Citation

Jiménez-García, B, Elez, K, Koukos, P I, Bonvin, A M & Vangone, A 2019, 'PRODIGY-crystal: a web-tool for classification of biological interfaces in protein complexes', Bioinformatics, vol. 35, no. 22, pp. 4821–4823. https://doi.org/10.1093/bioinformatics/btz437