PRODIGY-crystal: a web-tool for classification of biological interfaces in protein complexes
| Autor: | Jiménez-García, Brian, Elez, Katarina, Koukos, Panagiotis I, Bonvin, Alexandre Mjj, Vangone, Anna, NMR Spectroscopy, Sub NMR Spectroscopy |
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| Přispěvatelé: | NMR Spectroscopy, Sub NMR Spectroscopy |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Internet 0303 health sciences Computers Macromolecular Substances Computer science Interface (Java) 030303 biophysics Proteins Biochemistry Web tool Computer Science Applications Crystal (programming language) 03 medical and health sciences Computational Mathematics Computational Theory and Mathematics Human–computer interaction Taverne Molecular Biology Software 030304 developmental biology Macromolecule |
| Zdroj: | Bioinformatics, 35(22). Oxford University Press Bioinformatics |
| ISSN: | 1367-4811 1367-4803 |
| DOI: | 10.1093/bioinformatics/btz437 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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