dc.contributor.author | Sharma, Alok | |
dc.contributor.author | Paliwal, Kuldip K | |
dc.contributor.author | Dehzangi, Abdollah | |
dc.contributor.author | Lyons, James | |
dc.contributor.author | Imoto, Seiya | |
dc.contributor.author | Miyano, Satoru | |
dc.date.accessioned | 2017-05-03T15:57:38Z | |
dc.date.available | 2017-05-03T15:57:38Z | |
dc.date.issued | 2013 | |
dc.date.modified | 2014-04-10T05:24:27Z | |
dc.identifier.issn | 1471-2105 | |
dc.identifier.doi | 10.1186/1471-2105-14-233 | |
dc.identifier.uri | http://hdl.handle.net/10072/58219 | |
dc.description.abstract | Background 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.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 468694 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | BioMed Central Ltd | |
dc.publisher.place | United Kingdom | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 233-1 | |
dc.relation.ispartofpageto | 233-11 | |
dc.relation.ispartofjournal | BMC bioinformatics | |
dc.relation.ispartofvolume | 14 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Mathematical sciences | |
dc.subject.fieldofresearch | Biological sciences | |
dc.subject.fieldofresearch | Information and computing sciences | |
dc.subject.fieldofresearchcode | 49 | |
dc.subject.fieldofresearchcode | 31 | |
dc.subject.fieldofresearchcode | 46 | |
dc.title | A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
dcterms.license | http://creativecommons.org/licenses/by/2.0 | |
gro.faculty | Griffith 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.issued | 2013 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Paliwal, Kuldip K. | |