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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/22089
Title: 
Using genetic algorithm to design protein sequence
Author(s): 
Institution: 
  • Universidade Federal do ABC (UFABC)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0096-3003
Abstract: 
In 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.
Issue Date: 
15-Jun-2008
Citation: 
Applied Mathematics and Computation. New York: Elsevier B.V., v. 200, n. 1, p. 1-9, 2008.
Publisher: 
Elsevier B.V.
Keywords: 
  • genetic algorithms
  • Optimization
  • Protein structure
  • prediction
  • Bioinformatics
Source: 
http://dx.doi.org/10.1016/j.amc.2007.09.033
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/22089
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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