Publicação:
Using genetic algorithm to design protein sequence

dc.contributor.authorScott, Luis P. B.
dc.contributor.authorChahine, Jorge [UNESP]
dc.contributor.authorRuggiero, José Roberto [UNESP]
dc.contributor.institutionUniversidade Federal do ABC (UFABC)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:02:39Z
dc.date.available2014-05-20T14:02:39Z
dc.date.issued2008-06-15
dc.description.abstractIn this work, genetic algorithms concepts along with a rotamer library for proteins side chains are used to optimize the tertiary structure of the hydrophobic core of Cytochrome b(562) starting from the known PDB structure of its backbone which is kept fixed while the side chains of the hydrophobic core are allowed to adopt the conformations present in the rotamer library. The atoms of the side chains forming the core interact via van der Waals energy. Besides the prediction of the native core structure, it is also suggested a set of different amino acid sequences for this core. Comparison between these new cores and the native are made in terms of their volumes, van der Waals energies values and the numbers of contacts made by the side chains forming the cores. This paper proves that genetic algorithms area efficient to design new sequence for the protein core. (C) 2007 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniversidade Federal do ABC (UFABC), CMCC, BR-09090400 Santo Andre, SP, Brazil
dc.description.affiliationIBILCE, Dept Phys, São Paulo, Brazil
dc.description.affiliationUnespIBILCE, Dept Phys, São Paulo, Brazil
dc.identifierhttp://dx.doi.org/10.1016/j.amc.2007.09.033
dc.identifier.citationApplied Mathematics and Computation. New York: Elsevier B.V., v. 200, n. 1, p. 1-9, 2008.
dc.identifier.doi10.1016/j.amc.2007.09.033
dc.identifier.issn0096-3003
dc.identifier.lattes1518826294347383
dc.identifier.urihttp://hdl.handle.net/11449/22089
dc.identifier.wosWOS:000255728600001
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofApplied Mathematics and Computation
dc.relation.ispartofjcr2.300
dc.relation.ispartofsjr1,065
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectgenetic algorithmsen
dc.subjectOptimizationen
dc.subjectProtein structureen
dc.subjectpredictionen
dc.subjectBioinformaticsen
dc.titleUsing genetic algorithm to design protein sequenceen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.lattes1518826294347383
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentFísica - IBILCEpt

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