Automated motif extraction and classification in RNA tertiary structures.

Abstract : We used a novel graph-based approach to extract RNA tertiary motifs. We cataloged them all and clustered them using an innovative graph similarity measure. We applied our method to three widely studied structures: Haloarcula marismortui 50S (H.m 50S), Escherichia coli 50S (E. coli 50S), and Thermus thermophilus 16S (T.th 16S) RNAs. We identified 10 known motifs without any prior knowledge of their shapes or positions. We additionally identified four putative new motifs.
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RNA, Cold Spring Harbor Laboratory Press, 2008, 14 (12), pp.2489-97. 〈10.1261/rna.1061108〉
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https://hal.archives-ouvertes.fr/hal-00353402
Contributeur : Marie-Claude Denner <>
Soumis le : jeudi 15 janvier 2009 - 15:13:53
Dernière modification le : mardi 24 avril 2018 - 13:36:19

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Mahassine Djelloul, Alain Denise. Automated motif extraction and classification in RNA tertiary structures.. RNA, Cold Spring Harbor Laboratory Press, 2008, 14 (12), pp.2489-97. 〈10.1261/rna.1061108〉. 〈hal-00353402〉

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