Similarity of Amyloid Protein Motif using an Hybrid Intelligent System

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "J. Altamiranda and J. Aguilar and C. Delamarche",
  title =        "Similarity of Amyloid Protein Motif using an Hybrid
                 Intelligent System",
  journal =      "IEEE Latin America Transactions (Revista IEEE America
  year =         "2011",
  month =        sep,
  volume =       "9",
  number =       "5",
  pages =        "700--710",
  note =         "In Spanish",
  keywords =     "genetic algorithms, genetic programming, AMYPdb
                 database, amyloid protein motif, backpropagation
                 artificial neural network, biological problem, hybrid
                 intelligent system, nonhomologous protein family,
                 protein sequence, regular expression, backpropagation,
                 biology computing, neural nets, proteins",
  DOI =          "doi:10.1109/TLA.2011.6030978",
  ISSN =         "1548-0992",
  size =         "11 pages",
  abstract =     "The main objective of this research is to define and
                 develop a comparison method of regular expressions, and
                 apply it to amyloid proteins. In general, the
                 biological problem that we study is concerning the
                 search for similarities between non-homologous protein
                 families, using regular expressions, with the goal of
                 discover and identify specific regions conserved in the
                 protein sequence, and in this way determine that
                 proteins have a common origin. From the computer point
                 of view, the problem consists of comparison of protein
                 motifs expressed using regular expressions. A motif is
                 a small region in a previously characterised protein,
                 with a functional or structural significance in the
                 protein sequence. In this work we proposed a hybrid
                 method of motifs comparison based on the Genetic
                 Programming, to generate the populations derived from
                 every regular expression under comparison, and the
                 Backpropagation Artificial Neural Network, for the
                 comparison between them. The method of motifs
                 comparison is tested using the database AMYPdb, and it
                 allows discover possible similarities between amyloid
  notes =        "Also known as \cite{6030978}",

Genetic Programming entries for Junior Amilcar Altamiranda Perez Jose Lisandro Aguilar Castro Christian Delamarche