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2009 | 56 | 1 |

Tytuł artykułu

Detection of selective cationic amphipatic antibacterial peptides by Hidden Markov models

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
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.

Wydawca

-

Rocznik

Tom

56

Numer

1

Opis fizyczny

p.167-176,ref.

Twórcy

autor
  • Universidad Nacional Autonoma de Mexico, Circuito Exterior s/n Ciudad Universitaria Delegacion Coyoacan CP 04510, D.F., Mexico

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Bibliografia

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