- Tytuł:
- Detection of selective cationic amphipatic antibacterial peptides by Hidden Markov models
- Autorzy:
-
Polanco, Carlos
Samaniego, Jose - Powiązania:
- https://bibliotekanauki.pl/articles/1040652.pdf
- Data publikacji:
- 2009
- Wydawca:
- Polskie Towarzystwo Biochemiczne
- Tematy:
-
Hidden Markov models
antibacterial peptides - Opis:
- 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.
- Źródło:
-
Acta Biochimica Polonica; 2009, 56, 1; 167-176
0001-527X - Pojawia się w:
- Acta Biochimica Polonica
- Dostawca treści:
- Biblioteka Nauki
Artykuł