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

Brian Jiménez-García; Katarina Elez; Panagiotis I Koukos; Alexandre Mjj Bonvin; Anna Vangone

doi:10.1093/bioinformatics/btz437

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

Brian Jiménez-García, Katarina Elez, Panagiotis I Koukos, Alexandre Mjj Bonvin, Anna Vangone

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	4821–4823
Journal	Bioinformatics
Volume	35
Issue number	22
DOIs	https://doi.org/10.1093/bioinformatics/btz437
Publication status	Published - 29 May 2019

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title = "PRODIGY-crystal: a web-tool for classification of biological interfaces in protein complexes",

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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AU - Elez, Katarina

AU - Koukos, Panagiotis I

AU - Bonvin, Alexandre Mjj

AU - Vangone, Anna

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AB - 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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JO - Bioinformatics

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

Abstract

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