Similarity of Amyloid Protein Motif using an Hybrid Intelligent System

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Altamiranda:2011:ieeeLAT,

• 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 Latina)",
• 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 families.",
• notes = "Also known as \cite{6030978}",

}

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

Citations