Kbdock - Searching and organising the structural space of protein-protein interactions

Marie-Dominique Devignes 1 Malika Smaïl-Tabbone 2 David Ritchie 1
1 CAPSID - Computational Algorithms for Protein Structures and Interactions
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Big data is a recurring problem in structural bioinformatics where even a single experimentally determined protein structure can contain several different interacting protein domains and often involves many tens of thousands of 3D atomic coordinates. If we consider all protein structures that have ever been solved, the immense structural space of protein-protein interactions needs to be organised systematically in order to make sense of the many functional and evolutionary relationships that exist between different protein families and their interactions. This article describes some new developments in Kbdock, a knowledge-based approach for classifying and annotating protein interactions at the protein domain level.
Type de document :
Article dans une revue
ERCIM News, ERCIM, 2016, pp.24-25
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Contributeur : David Ritchie <>
Soumis le : jeudi 13 octobre 2016 - 16:50:19
Dernière modification le : mardi 18 décembre 2018 - 16:40:22
Document(s) archivé(s) le : samedi 4 février 2017 - 00:37:04


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  • HAL Id : hal-01258117, version 1


Marie-Dominique Devignes, Malika Smaïl-Tabbone, David Ritchie. Kbdock - Searching and organising the structural space of protein-protein interactions. ERCIM News, ERCIM, 2016, pp.24-25. 〈hal-01258117〉



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