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rPredictorDB: a predictive database of individual secondary structures of RNAs and their formatted plots
J. Jelínek, D. Hoksza, J. Hajič, J. Pešek, J. Drozen, T. Hladík, M. Klimpera, J. Vohradský, J. Pánek,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2009
Free Medical Journals
od 2009
PubMed Central
od 2009
Europe PubMed Central
od 2009
Medline Complete (EBSCOhost)
od 2009-01-01
Oxford Journals Open Access Collection
od 2009
ROAD: Directory of Open Access Scholarly Resources
od 2009
PubMed
31032840
DOI
10.1093/database/baz047
Knihovny.cz E-zdroje
- MeSH
- databáze nukleových kyselin * MeSH
- konformace nukleové kyseliny * MeSH
- RNA * chemie genetika MeSH
- software * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Secondary data structure of RNA molecules provides insights into the identity and function of RNAs. With RNAs readily sequenced, the question of their structural characterization is increasingly important. However, RNA structure is difficult to acquire. Its experimental identification is extremely technically demanding, while computational prediction is not accurate enough, especially for large structures of long sequences. We address this difficult situation with rPredictorDB, a predictive database of RNA secondary structures that aims to form a middle ground between experimentally identified structures in PDB and predicted consensus secondary structures in Rfam. The database contains individual secondary structures predicted using a tool for template-based prediction of RNA secondary structure for the homologs of the RNA families with at least one homolog with experimentally solved structure. Experimentally identified structures are used as the structural templates and thus the prediction has higher reliability than de novo predictions in Rfam. The sequences are downloaded from public resources. So far rPredictorDB covers 7365 RNAs with their secondary structures. Plots of the secondary structures use the Traveler package for readable display of RNAs with long sequences and complex structures, such as ribosomal RNAs. The RNAs in the output of rPredictorDB are extensively annotated and can be viewed, browsed, searched and downloaded according to taxonomic, sequence and structure data. Additionally, structure of user-provided sequences can be predicted using the templates stored in rPredictorDB.
Citace poskytuje Crossref.org
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