dc.contributor.author | Shatabda, S | |
dc.contributor.author | Newton, MAH | |
dc.contributor.author | Pham, DN | |
dc.contributor.author | Sattar, A | |
dc.contributor.editor | Sanjay Ranka | |
dc.date.accessioned | 2018-03-26T01:31:13Z | |
dc.date.available | 2018-03-26T01:31:13Z | |
dc.date.issued | 2012 | |
dc.date.modified | 2014-04-08T23:55:21Z | |
dc.identifier.isbn | 9781450316705 | |
dc.identifier.refuri | http://www.cse.buffalo.edu/ACM-BCB2012/ | |
dc.identifier.doi | 10.1145/2382936.2382980 | |
dc.identifier.uri | http://hdl.handle.net/10072/48902 | |
dc.description.abstract | Protein structure prediction is one of the most challenging problems in computational biology. Given a protein's amino acid sequence, a simplified version of the problem is to find an on-lattice self-avoiding walk that minimizes the interaction energy among the amino acids. In this paper, we present a memory-based local search method for the simplified problem using Hydrophobic-Polar energy model and Face Centered Cubic lattice. By memorizing local minima and then avoiding their neighbohood, our approach significantly improves the state-of-the-art local search method for protein structure prediction on a set of standard benchmark proteins. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 1147000 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.publisher.place | United States | |
dc.publisher.uri | http://www.cse.buffalo.edu/ACM-BCB2012/ | |
dc.relation.ispartofstudentpublication | Y | |
dc.relation.ispartofconferencename | ACM BCB 2012 | |
dc.relation.ispartofconferencetitle | 2012 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2012 | |
dc.relation.ispartofdatefrom | 2012-10-07 | |
dc.relation.ispartofdateto | 2012-10-10 | |
dc.relation.ispartoflocation | Orlando, Florida, United States | |
dc.relation.ispartofpagefrom | 345 | |
dc.relation.ispartofpageto | 352 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Artificial intelligence not elsewhere classified | |
dc.subject.fieldofresearchcode | 460299 | |
dc.title | Memory-Based Local Search for Simplified 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.rights.copyright | © ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine , ISBN: 978-1-4503-1670-5, dx.doi.org/10.1145/2382936.2382980 | |
gro.date.issued | 2012 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Sattar, Abdul | |