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dc.contributor.authorHoque, Mden_US
dc.contributor.authorChetty, Madhuen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.editorAmandeep S. Sidhu and Tharam S.Dillonen_US
dc.date.accessioned2017-05-03T15:23:45Z
dc.date.available2017-05-03T15:23:45Z
dc.date.issued2009en_US
dc.date.modified2009-11-11T05:24:52Z
dc.identifier.isbn9783642021923en_US
dc.identifier.doi10.1007/978-3-642-02193-0_14en_US
dc.identifier.urihttp://hdl.handle.net/10072/26547
dc.description.abstractProteins are sequences of amino acids bound into a linear chain that adopt a specific folded three-dimensional (3D) shape. This specific folded shape enables proteins to perform specific tasks. The protein structure prediction (PSP) by ab initio or de novo approach is promising amongst various available computational methods and can help to unravel the important relationship between sequence and its corresponding structure. This article presents the ab initio protein structure prediction as a conformational search problem in low resolution model using genetic algorithm. As a review, the essence of twin removal, intelligence in coding, the development and application of domain specific heuristics garnered from the properties of the resulting model and the protein core formation concept discussed are all highly relevant in attempting to secure the best solution.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent493654 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer-Verlagen_US
dc.publisher.placeBerlin Heidelbergen_US
dc.relation.ispartofbooktitleBiomedical Data and Applicationsen_US
dc.relation.ispartofchapter14en_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom317en_US
dc.relation.ispartofpageto342en_US
dc.relation.ispartofeditionFirsten_US
dc.relation.ispartofvolume224en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchBiological Mathematicsen_US
dc.subject.fieldofresearchcode089999en_US
dc.subject.fieldofresearchcode010202en_US
dc.titleGenetic Algorithm in Ab Initio Protein Structure Prediction Using Low Resolution Model: A Reviewen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Book Chapters (HERDC)en_US
dc.type.codeB - Book Chaptersen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyright"Copyright 2009 Springer. The attached file is reproduced here in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com "en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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