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dc.contributor.authorZaman, Rianon
dc.contributor.authorChowdhury, Shahana Yasmin
dc.contributor.authorRashid, Mahmood A
dc.contributor.authorSharma, Alok
dc.contributor.authorDehzangi, Abdollah
dc.contributor.authorShatabda, Swakkhar
dc.date.accessioned2018-04-23T01:31:31Z
dc.date.available2018-04-23T01:31:31Z
dc.date.issued2017
dc.identifier.issn2314-6133
dc.identifier.doi10.1155/2017/4590609
dc.identifier.urihttp://hdl.handle.net/10072/373617
dc.description.abstractDNA-binding proteins often play important role in various processes within the cell. Over the last decade, a wide range of classification algorithms and feature extraction techniques have been used to solve this problem. In this paper, we propose a novel DNA-binding protein prediction method called HMMBinder. HMMBinder uses monogram and bigram features extracted from the HMM profiles of the protein sequences. To the best of our knowledge, this is the first application of HMM profile based features for the DNA-binding protein prediction problem. We applied Support Vector Machines (SVM) as a classification technique in HMMBinder. Our method was tested on standard benchmark datasets. We experimentally show that our method outperforms the state-of-the-art methods found in the literature.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherHindawi
dc.relation.ispartofpagefrom4590609-1
dc.relation.ispartofpageto4590609-10
dc.relation.ispartofjournalBioMed Research International
dc.relation.ispartofvolume2017
dc.subject.fieldofresearchClinical Sciences not elsewhere classified
dc.subject.fieldofresearchBiological Sciences
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchTechnology
dc.subject.fieldofresearchcode110399
dc.subject.fieldofresearchcode06
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode10
dc.titleHMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2017 Rianon Zaman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorSharma, Alok
gro.griffith.authorRashid, Mahmood A.
gro.griffith.authorShatabda, Swakkhar
gro.griffith.authorZaman, Rianon


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