File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Structure prediction of simple non-standard pseudoknot

TitleStructure prediction of simple non-standard pseudoknot
Authors
KeywordsComplex pseudoknot
RNA
Secondary structure prediction
Simple non-standard pseudoknot
Issue Date2010
Citation
The 1st International Conference on Bioinformatics (Bioinformatics 2010), Valencia, Spain, 20-23 January 2010. In Proceedings of the 1st Bioinformatics, 2010, p. 33-38 How to Cite?
AbstractThe secondary structure of an RNA molecule is known to be critical in its biological function. However, the problem of predicting the secondary structure of an RNA molecule based on its primary sequence is computationally difficult in the presence of pseudoknots. In general, the problem is NP-hard. Most of the existing algorithms aim at restricted classes of pseudoknots. In this paper, we consider a new class of pseudoknot structures, called simple non-standard pseudoknot, which can cover more complicated secondary structures found in existing databases. None of the previous algorithms can handle this class of pseudoknots. Only two of them, which run in O(m6) and O(m 5) time where m is the length of the given RNA sequence, can handle certain cases in this new class. On the other hand, we provide a prediction algorithm that runs in O(m4) time for simple non-standard pseudoknots of degree 4 which already covers all known secondary structures of RNAs in this class.
Persistent Identifierhttp://hdl.handle.net/10722/129556
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorWong, TKFen_HK
dc.contributor.authorYiu, SMen_HK
dc.date.accessioned2010-12-23T08:39:15Z-
dc.date.available2010-12-23T08:39:15Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 1st International Conference on Bioinformatics (Bioinformatics 2010), Valencia, Spain, 20-23 January 2010. In Proceedings of the 1st Bioinformatics, 2010, p. 33-38en_HK
dc.identifier.isbn9789896740191-
dc.identifier.urihttp://hdl.handle.net/10722/129556-
dc.description.abstractThe secondary structure of an RNA molecule is known to be critical in its biological function. However, the problem of predicting the secondary structure of an RNA molecule based on its primary sequence is computationally difficult in the presence of pseudoknots. In general, the problem is NP-hard. Most of the existing algorithms aim at restricted classes of pseudoknots. In this paper, we consider a new class of pseudoknot structures, called simple non-standard pseudoknot, which can cover more complicated secondary structures found in existing databases. None of the previous algorithms can handle this class of pseudoknots. Only two of them, which run in O(m6) and O(m 5) time where m is the length of the given RNA sequence, can handle certain cases in this new class. On the other hand, we provide a prediction algorithm that runs in O(m4) time for simple non-standard pseudoknots of degree 4 which already covers all known secondary structures of RNAs in this class.en_HK
dc.languageengen_US
dc.relation.ispartofProceedings of the 1st International Conference on Bioinformaticsen_HK
dc.subjectComplex pseudoknoten_HK
dc.subjectRNAen_HK
dc.subjectSecondary structure predictionen_HK
dc.subjectSimple non-standard pseudoknoten_HK
dc.titleStructure prediction of simple non-standard pseudoknoten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYiu, SM:smyiu@cs.hku.hken_HK
dc.identifier.authorityYiu, SM=rp00207en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-77956361750en_HK
dc.identifier.hkuros177378en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956361750&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage33en_HK
dc.identifier.epage38en_HK
dc.description.otherThe 1st International Conference on Bioinformatics (Bioinformatics 2010), Valencia, Spain, 20-23 January 2010. In Proceedings of the 1st Bioinformatics, 2010, p. 33-38-
dc.identifier.scopusauthoridWong, TKF=25423289800en_HK
dc.identifier.scopusauthoridYiu, SM=7003282240en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats