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<dc:title xml:lang="fr">Cartographie des interfaces protéine-protéine et recherche de cavités droguables</dc:title>
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<dc:subject xml:lang="fr">Base de données</dc:subject>
<dc:subject xml:lang="fr">Bioinformatique</dc:subject>
<dc:subject xml:lang="fr">Cavité</dc:subject>
<dc:subject xml:lang="fr">Chémoinformatique</dc:subject>
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<dc:subject xml:lang="fr">Interface protéine-protéine</dc:subject>
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<dc:subject xml:lang="en">Database</dc:subject>
<dc:subject xml:lang="en">Computational biology</dc:subject>
<dc:subject xml:lang="en">Cavities</dc:subject>
<dc:subject xml:lang="en">Computational chemistry</dc:subject>
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<dc:subject xml:lang="en">Protein-protein interface</dc:subject>
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<tef:elementdEntree autoriteExterne="032620349" autoriteSource="Sudoc">Chimie -- Informatique</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Les interfaces protéine-protéine sont au cœur de nombreux mécanismes physiologiques du vivant. Les caractériser au niveau moléculaire est un donc enjeu crucial pour la recherche de nouveaux candidat-médicaments. Nous proposons ici de nouvelles méthodes d’analyse des interfaces protéine-protéine à visée pharmaceutique. Notre protocole automatisé détecte les interfaces au sein des structures de la Protein Data Bank afin de définir les zones d’interactions à potentiel pharmacologique, les cavités droguables, les ligands présents à l’interface ainsi que les pharmacophores directement déduits à partir des cavités. Notre méthode permet de réaliser un état de l’art des informations disponibles autour des interfaces protéine-protéine ainsi que de prédire de nouvelles cibles potentielles pour des molécules candidats médicaments.</dcterms:abstract>
<dcterms:abstract xml:lang="en">Protein-protein interfaces are involved in many physiological mechanisms of living cells. Their characterization at the molecular level is therefore crucial in drug discovery.We propose here new methods for the analysis protein-protein interfaces of pharmaceutical interest. Our automated protocol detects the biologicaly relevant interfaces within the Protein Data Bank structures, droguables cavities, ligands present at the interface and pharmacophores derived directly from the cavities. Our method enables a state-of- the-art of all available structural information about protein-protein interfaces and predicts potential new targets for drug candidates.</dcterms:abstract>
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