Repositorio Atenea de la Facultad de Ciencias, UNAM >
Repositorio Ciencias >
FACULTAD DE CIENCIAS >
Ciencias >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11154/3152
|
Title: | Detection of selective cationic amphipatic antibacterial peptides by Hidden Markov models |
Authors: | Polanco, C Samaniego, JL |
Issue Date: | 2009 |
Abstract: | Antibacterial peptides are researched mainly for the potential benefit they have in a variety of socially relevant diseases, used by the host to protect itself from different types of pathogenic bacteria. We used the mathematical-computational method known as Hidden Markov models (HMMs) in targeting a subset of antibacterial peptides named Selective Cationic Amphipatic Antibacterial Peptides (SCAAPs). The main difference in the implementation of HMMs was focused on the detection of SCAAP using principally five physical-chemical properties for each candidate SCAAPs, instead of using the statistical information about the amino acids which form a peptide. By this method a cluster of antibacterial peptides was detected and as a result the following were found: 9 SCAAPs, 6 synthetic antibacterial peptides that belong to a subregion of Cecropin A and Magainin 2, and 19 peptides from the Cecropin A family. A scoring function was developed using HMMs as its core, uniquely employing information accessible from the databases. |
URI: | http://hdl.handle.net/11154/3152 |
ISSN: | 0001-527X |
Appears in Collections: | Ciencias
|
Files in This Item:
There are no files associated with this item.
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|