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dc.contributor.authorSaini, H
dc.contributor.authorRaicar, G
dc.contributor.authorSharma, A
dc.contributor.authorLal, S
dc.contributor.authorDehzangi, A
dc.contributor.authorAnanthanarayanan, R
dc.contributor.authorLyons, J
dc.contributor.authorBiswas, N
dc.contributor.authorPaliwal, KK
dc.date.accessioned2017-05-03T12:46:01Z
dc.date.available2017-05-03T12:46:01Z
dc.date.issued2014
dc.identifier.issn1343-0130
dc.identifier.urihttp://hdl.handle.net/10072/64158
dc.description.abstractProtein structural class prediction (SCP) is as important task in identifying protein tertiary structure and protein functions. In this study, we propose a feature extraction technique to predict secondary structures. The technique utilizes bigram (of adjacent and k-separated amino acids) information derived from Position Specific Scoring Matrix (PSSM). The technique has shown promising results when evaluated on benchmarked Ding and Dubchak dataset.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherFuji Technology Press
dc.publisher.placeJapan
dc.publisher.urihttp://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001800040002.xml
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom474
dc.relation.ispartofpageto479
dc.relation.ispartofissue4
dc.relation.ispartofjournalJournal of Advanced Computational Intelligence and Intelligent Informatics
dc.relation.ispartofvolume18
dc.rights.retentionY
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode460299
dc.subject.fieldofresearchcode4609
dc.titleProtein structural class prediction via k-separated bigrams using position specific scoring matrix
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.


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