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A Wide Antimicrobial Peptides Search Method Using Fuzzy Modeling

  • Fabiano C. Fernandes
  • William F. Porto
  • Octavio L. Franco
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5676)

Abstract

The search for novel antimicrobial peptides in free databases is a key element to design new antibiotics. Their amino acid physicochemical features impact into the antimicrobial peptides activities. The relationship between the amino acid physicochemical properties and the antimicrobial target might have a fuzzy behavior. This study proposes a sequence similarity and physicochemical search method followed by a fuzzy inference system to find the most appropriated antimicrobial peptides for each domain. The proposed system was tested with NCBI’s NR protein data file and the obtained peptide sub dataset will be tested in vitro.

Keywords

antimicrobial peptides fuzzy modeling and drug design 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Fabiano C. Fernandes
    • 1
  • William F. Porto
    • 1
  • Octavio L. Franco
    • 1
  1. 1.Centro de Análises Proteômicas e Bioquímicas, Pós-Graduação em Ciências Genômicas e BiotecnologiaUniversidade Católica de BrasíliaBrasília - DFBrazil

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