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Similarités et divergences, globales et locales entre structures protéiques

Mathilde Le Boudic-Jamin 1
1 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : This thesis focused on Protein Structure comparisons and meanings. First, structures were scored, with criteria of similarity and distance in order to provide a supervised classification. This structural domain classification inside existing hierarchical databases was possible using dominances and learning that allow to assign new domains with accuracy and exactly. Second we focused on local similarities and proposed a method of protein comparison modelisation inside graphs. Graph traversal allows to find protein similar substructures. This method is based on compatibility between elements and criterion of distances. We wera able to detect events such that circular permutations, hinges and structural motif repeats. Finally we propose a new approach of accurate protein structure analysis that focused on divergences between similar structures.
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https://hal.inria.fr/tel-01250540
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Submitted on : Wednesday, January 6, 2016 - 3:00:28 PM
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  • HAL Id : tel-01250540, version 1

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Mathilde Le Boudic-Jamin. Similarités et divergences, globales et locales entre structures protéiques. Bio-informatique [q-bio.QM]. Universite Rennes 1, 2015. Français. ⟨tel-01250540⟩

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