Skip to Main content Skip to Navigation
Theses

Similarités et divergences, globales et locales, entre structures protéiques

Mathilde Le Boudic-Jamin 1, 2
2 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : This thesis focusses on local and global similarities and divergences inside protein structures. First, structures are scored, with criteria of similarity and distance in order to provide a supervised classification. This structural domain classification inside existing hierarchical databases is possible by using dominances and learning. These methods allow to assign new domains with accuracy and exactly. Second we focusses 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 can use it and 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.
Complete list of metadatas

Cited literature [119 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01321404
Contributor : Abes Star :  Contact
Submitted on : Wednesday, May 25, 2016 - 3:48:06 PM
Last modification on : Sunday, March 1, 2020 - 1:10:41 AM
Document(s) archivé(s) le : Friday, August 26, 2016 - 10:58:56 AM

File

LE_BOUDIC-JAMIN_Mathilde.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01321404, version 1

Citation

Mathilde Le Boudic-Jamin. Similarités et divergences, globales et locales, entre structures protéiques. Bio-informatique [q-bio.QM]. Université Rennes 1, 2015. Français. ⟨NNT : 2015REN1S119⟩. ⟨tel-01321404⟩

Share

Metrics

Record views

363

Files downloads

671