Comparison and fusion model in protein motifs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Altamiranda:2013:CLEI,
-
author = "Junior Altamiranda and Jose Aguilar and
Chistian Delamarche",
-
booktitle = "XXXIX Latin American Computing Conference (CLEI
2013)",
-
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
Optimization",
-
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
Citations