Comparison and fusion model in protein motifs

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Junior Altamiranda and Jose Aguilar and 
                 Chistian Delamarche",
  booktitle =    "XXXIX Latin American Computing Conference (CLEI
  title =        "Comparison and fusion model in protein motifs",
  year =         "2013",
  month =        "7-11 " # oct,
  address =      "Naiguata",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming,
                 Bioinformatics, Neural Network, ANN, ACO, Ant Colony
  isbn13 =       "978-1-4799-2957-3",
  DOI =          "doi:10.1109/CLEI.2013.6670618",
  size =         "12 pages",
  abstract =     "Motifs are useful in biology to highlight the
                 nucleotides/amino-acids that are involved in structure,
                 function, regulation and evolution, or to infer
                 homology between genes/proteins. PROSITE is a strategy
                 to model protein motifs as Regular Expressions and
                 Position Frequency Matrices. Multiple tools have been
                 proposed to discover biological motifs, but not for the
                 case of the motifs comparison problem, which is
                 NP-Complete due to flexibility and independence at each
                 position. In this paper we present a formal model to
                 compare two protein motifs based on the Genetic
                 Programming to generate the population of sequences
                 derived from every regular expression under comparison
                 and on a Neural Network Backpropagation to calculate a
                 motif similarity score as fitness function.
                 Additionally, we present a fusion formal method for two
                 similar motifs based on the Ant Colony Optimisation
                 technique. The comparison and fusion method was tested
                 using amyloid protein motifs.",
  notes =        "Chistian Delamarche = Christian Delamarche Also known
                 as \cite{6670618}",

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