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dc.contributor.authorSharma, Alok
dc.contributor.authorPaliwal, Kuldip K
dc.contributor.authorDehzangi, Abdollah
dc.contributor.authorLyons, James
dc.contributor.authorImoto, Seiya
dc.contributor.authorMiyano, Satoru
dc.date.accessioned2017-05-03T15:57:38Z
dc.date.available2017-05-03T15:57:38Z
dc.date.issued2013
dc.date.modified2014-04-10T05:24:27Z
dc.identifier.issn1471-2105
dc.identifier.doi10.1186/1471-2105-14-233
dc.identifier.urihttp://hdl.handle.net/10072/58219
dc.description.abstractBackground Assigning a protein into one of its folds is a transitional step for discovering three dimensional protein structure, which is a challenging task in bimolecular (biological) science. The present research focuses on: 1) the development of classifiers, and 2) the development of feature extraction techniques based on syntactic and/or physicochemical properties. Results Apart from the above two main categories of research, we have shown that the selection of physicochemical attributes of the amino acids is an important step in protein fold recognition and has not been explored adequately. We have presented a multi-dimensional successive feature selection (MD-SFS) approach to systematically select attributes. The proposed method is applied on protein sequence data and an improvement of around 24% in fold recognition has been noted when selecting attributes appropriately. Conclusion The MD-SFS has been applied successfully in selecting physicochemical attributes of the amino acids. The selected attributes show improved protein fold recognition performance.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent468694 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central Ltd
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom233-1
dc.relation.ispartofpageto233-11
dc.relation.ispartofjournalBMC bioinformatics
dc.relation.ispartofvolume14
dc.rights.retentionY
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode31
dc.subject.fieldofresearchcode46
dc.titleA strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/2.0
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2013 Sharma et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorPaliwal, Kuldip K.


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