dc.contributor.author | Rashid, Mahmood A | |
dc.contributor.author | Polash, Md Masbaul Alam | |
dc.contributor.author | Newton, MA Hakim | |
dc.contributor.author | Hoque, Md Tamjidul | |
dc.contributor.author | Sattar, Abdul | |
dc.contributor.editor | Pham, DN | |
dc.contributor.editor | Park, SB | |
dc.date.accessioned | 2017-05-03T14:57:11Z | |
dc.date.available | 2017-05-03T14:57:11Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 978-3-319-13559-5 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.doi | 10.1007/978-3-319-13560-1_12 | |
dc.identifier.uri | http://hdl.handle.net/10072/67848 | |
dc.description.abstract | Proteins are essentially sequences of amino acids. They adopt specific folded 3-dimensional structures to perform specific tasks. The formation of 3-dimensional structures is largely guided by the constituent amino acids. Therefore, the positional presence of amino acids in a sequence might play important roles during the protein folding process. In this paper, we present a new heuristic derived from the positional patterns of amino acids in a sequence. With the help of a biased tabu tenure, we apply this heuristic within a spiral search algorithm. The spiral search is an efficient algorithm to develop hydrophobic core in a protein structure pulling hydrophobic amino acids towards the core centre in a spiral fashion. On a set of standard benchmark proteins, we experimentally show that applying our new heuristic improves the performance of a spiral search algorithm consistently. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.language | English | |
dc.publisher | Springer | |
dc.publisher.place | Germany | |
dc.publisher.uri | http://www.pricai2014.org/ | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofconferencename | 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI) | |
dc.relation.ispartofconferencetitle | PRICAI 2014: TRENDS IN ARTIFICIAL INTELLIGENCE | |
dc.relation.ispartofdatefrom | 2014-12-01 | |
dc.relation.ispartofdateto | 2014-12-05 | |
dc.relation.ispartoflocation | Gold Coast, AUSTRALIA | |
dc.relation.ispartofpagefrom | 143 | |
dc.relation.ispartofpagefrom | 14 pages | |
dc.relation.ispartofpageto | 156 | |
dc.relation.ispartofpageto | 14 pages | |
dc.relation.ispartofvolume | 8862 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Artificial intelligence not elsewhere classified | |
dc.subject.fieldofresearch | Information and computing sciences | |
dc.subject.fieldofresearchcode | 460299 | |
dc.subject.fieldofresearchcode | 46 | |
dc.title | Amino acids pattern-biased spiral search for protein structure prediction | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Sattar, Abdul | |
gro.griffith.author | Rashid, Mahmood A. | |