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Prediction of sequentially optimal RNA secondary structures

Authors :
Patrick Daegelen
Nicolas Breton
Christine Jacob
Unité de biométrie et intelligence artificielle de jouy
Institut National de la Recherche Agronomique (INRA)
Unité de recherche Génétique Microbienne (UGM)
Source :
Journal of Biomolecular Structure and Dynamics, Journal of Biomolecular Structure and Dynamics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 1997, 14 (6), pp.727-740
Publication Year :
1997
Publisher :
HAL CCSD, 1997.

Abstract

International audience; A rigorous mathematical modeling of the RNA sequential folding process during transcription is proposed. It is based, at each transcription step, on a homogeneous markovian jump process, the state space of which is the set of structures constructible on the part of the RNA already transcribed. A theoretical formula permitting the computation of the structures probabilities at the end of the RNA transcription is derived. Successive approximations, aimed at reducing the size of the state space, permit the design of a prediction algorithm. The algorithm is tested on some structural RNAs (tRNA, 5S, 16S, hammerhead, ...), results are discussed and possible improvements are proposed.

Details

Language :
English
ISSN :
07391102 and 15380254
Database :
OpenAIRE
Journal :
Journal of Biomolecular Structure and Dynamics, Journal of Biomolecular Structure and Dynamics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 1997, 14 (6), pp.727-740
Accession number :
edsair.doi.dedup.....8ca1b6d04b6763290e23e57c47a4f932