Detection of putative new mutacins by bioinformatic analysis using available web tools

被引：6
作者：
Nicolas, Guillaume G. [1 ]
机构：
[1] Univ Laval, Fac Sci & Genie, Dept Biochim Microbiol & Bioinformat, Quebec City, PQ G1K 7P4, Canada
来源：
BIODATA MINING | 2011年 / 4卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
GENOME SEQUENCE; BACTERIOCIN; DATABASE; UA159;
D O I：
10.1186/1756-0381-4-22
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In order to characterise new bacteriocins produced by Streptococcus mutans we perform a complete bioinformatic analyses by scanning the genome sequence of strains UA159 and NN2025. By searching in the adjacent genomic context of the two-component signal transduction system we predicted the existence of many putative new bacteriocins' maturation pathways and some of them were only exclusive to a group of Streptococcus. Computational genomic and proteomic analysis combined to predictive functionnal analysis represent an alternative way for rapid identification of new putative bacteriocins as well as new potential antimicrobial drugs compared to the more traditional methods of drugs discovery using antagonism tests.
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页数：5
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