Identification de complexes protéine-protéine par combinaison de classifieurs. Application à Escherichia coli

Thomas Bourquard 1 Damien de Vienne 2 Jérôme Azé 3, 4
3 AMIB - Algorithms and Models for Integrative Biology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France
Abstract : We propose an approach to predict complexes with three proteins (trimers) by using classifiers learnt on protein-protein complexes (dimers). The prediction of trimers relies on two strong biological hypotheses: (i) two orthologous proteins share similar functional characteristics; (ii) two proteins interact as a complex to ensure an essential biological function for the studied species. These two hypotheses are used to describe each pair of proteins with the set of species for which they share an ortholog. A set of quality measures, initially developed for the evaluation of the interest of association rules, is used to evaluate the strength of the link between the two proteins. Our approach has been tested on Eschericha coli
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https://hal.inria.fr/hal-00785473
Contributor : Jérôme Azé <>
Submitted on : Wednesday, February 6, 2013 - 11:20:59 AM
Last modification on : Wednesday, March 27, 2019 - 4:41:29 PM

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  • HAL Id : hal-00785473, version 1

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Thomas Bourquard, Damien de Vienne, Jérôme Azé. Identification de complexes protéine-protéine par combinaison de classifieurs. Application à Escherichia coli. EGC 2013 - 13eme conférence Francophone sur l'Extraction et la Gestion des Connaissances, Florence Sèdes (IRIT Toulouse - Université Paul Sabatier) et André Péninou (IRIT Toulouse - Université Toulouse 2), Jan 2013, Toulouse, France. pp.419-430. ⟨hal-00785473⟩

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