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RSEARCH: Finding homologs of single structured RNA sequences

BACKGROUND: For many RNA molecules, secondary structure rather than primary sequence is the evolutionarily conserved feature. No programs have yet been published that allow searching a sequence database for homologs of a single RNA molecule on the basis of secondary structure. RESULTS: We have devel...

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Detalles Bibliográficos
Autores principales: Klein, Robert J, Eddy, Sean R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC239859/
https://www.ncbi.nlm.nih.gov/pubmed/14499004
http://dx.doi.org/10.1186/1471-2105-4-44
Descripción
Sumario:BACKGROUND: For many RNA molecules, secondary structure rather than primary sequence is the evolutionarily conserved feature. No programs have yet been published that allow searching a sequence database for homologs of a single RNA molecule on the basis of secondary structure. RESULTS: We have developed a program, RSEARCH, that takes a single RNA sequence with its secondary structure and utilizes a local alignment algorithm to search a database for homologous RNAs. For this purpose, we have developed a series of base pair and single nucleotide substitution matrices for RNA sequences called RIBOSUM matrices. RSEARCH reports the statistical confidence for each hit as well as the structural alignment of the hit. We show several examples in which RSEARCH outperforms the primary sequence search programs BLAST and SSEARCH. The primary drawback of the program is that it is slow. The C code for RSEARCH is freely available from our lab's website. CONCLUSION: RSEARCH outperforms primary sequence programs in finding homologs of structured RNA sequences.