Abstract
The extensive amount of nucleotide sequences from diverse plant species in Data Banks enables the use of computational approaches to discovery still unidentified genes and to infer about their function, structure and role in some biological processes. Of special interest are the antimicrobial peptides (AMP), whose functionalities have a very important role in defense against microbial infection in multicellular eukaryotes, being considered less susceptible to bacterial resistance than traditional antibiotics, with potential to develop a new class of therapeutic agents. Recent computational developments have provided various algorithms and resources to profit from the overwhelming information in data banks for biomining such peptides. This review focuses on the computational and bioinformatic approaches so far used for the identification of antimicrobial peptides in plant systems, highlighting alternative means of mining the entire plant peptide space that has recently become available.
Keywords: antimicrobial peptides, bioinformatics, computational modeling, databases
Current Protein & Peptide Science
Title: Data Bank Based Mining on the Track of Antimicrobial Weapons in Plant Genomes
Volume: 11 Issue: 3
Author(s): Luis C. Belarmino and Ana M. Benko-Iseppon
Affiliation:
Keywords: antimicrobial peptides, bioinformatics, computational modeling, databases
Abstract: The extensive amount of nucleotide sequences from diverse plant species in Data Banks enables the use of computational approaches to discovery still unidentified genes and to infer about their function, structure and role in some biological processes. Of special interest are the antimicrobial peptides (AMP), whose functionalities have a very important role in defense against microbial infection in multicellular eukaryotes, being considered less susceptible to bacterial resistance than traditional antibiotics, with potential to develop a new class of therapeutic agents. Recent computational developments have provided various algorithms and resources to profit from the overwhelming information in data banks for biomining such peptides. This review focuses on the computational and bioinformatic approaches so far used for the identification of antimicrobial peptides in plant systems, highlighting alternative means of mining the entire plant peptide space that has recently become available.
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Cite this article as:
C. Belarmino Luis and M. Benko-Iseppon Ana, Data Bank Based Mining on the Track of Antimicrobial Weapons in Plant Genomes, Current Protein & Peptide Science 2010; 11 (3) . https://dx.doi.org/10.2174/138920310791112084
DOI https://dx.doi.org/10.2174/138920310791112084 |
Print ISSN 1389-2037 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5550 |
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