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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.

SUBMITTER: Djelloul M 

PROVIDER: S-EPMC2590963 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

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Automated motif extraction and classification in RNA tertiary structures.

Djelloul Mahassine M   Denise Alain A  

RNA (New York, N.Y.) 20081028 12


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. ...[more]

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