dc.contributorUniversidade Federal do ABC (UFABC)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:02:39Z
dc.date.accessioned2022-10-05T14:51:08Z
dc.date.available2014-05-20T14:02:39Z
dc.date.available2022-10-05T14:51:08Z
dc.date.created2014-05-20T14:02:39Z
dc.date.issued2008-06-15
dc.identifierApplied Mathematics and Computation. New York: Elsevier B.V., v. 200, n. 1, p. 1-9, 2008.
dc.identifier0096-3003
dc.identifierhttp://hdl.handle.net/11449/22089
dc.identifier10.1016/j.amc.2007.09.033
dc.identifierWOS:000255728600001
dc.identifier1518826294347383
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3895770
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.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationApplied Mathematics and Computation
dc.relation2.300
dc.relation1,065
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectgenetic algorithms
dc.subjectOptimization
dc.subjectProtein structure
dc.subjectprediction
dc.subjectBioinformatics
dc.titleUsing genetic algorithm to design protein sequence
dc.typeArtigo


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