Prédiction des Motifs de Phycobilines-lyases chez les cyanobactéries

Sevellec Maelle 1, 2
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Cyanobacteria are photosynthetic organisms which use sophisticated light-harvesting complexes called phycobilisomes to absorb light. The phycobilin-lyases are enzymes involved in phycobilisome biosynthesis. The goal of this training course was to characterize the pattern of each lyase family to help with the annotation of 20 strains of Synechococcus that will be sequenced before the end of 2010, in the framework of the ANR-Pelican project. To build amino acid patterns, we used a new software, Protomata-Learner, which represents these patterns as automatas. After being tested, most of these patterns were found to be significant. Another objective of this project was to find potential active sites and to see whether there was a common pattern between all the lyase families. We did find potential actives sites but no common pattern. Interestingly, Protomata-Learner was able to retrieve the motifs of the few phycobilin-lyases that have been characterized to date. So this software appears to be a good tool for the characterization of amino acid patterns.
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https://hal.inria.fr/inria-00536643
Contributor : François Coste <>
Submitted on : Tuesday, November 16, 2010 - 4:08:32 PM
Last modification on : Friday, May 24, 2019 - 4:59:43 PM

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  • HAL Id : inria-00536643, version 1

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Sevellec Maelle. Prédiction des Motifs de Phycobilines-lyases chez les cyanobactéries. [Stage] 2010, pp.71. ⟨inria-00536643⟩

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