[Analysis of protein interaction network and function of Staphylococcus aureus].
OBJECTIVE
Staphylococcus aureus is a member of Gram positive bacteria,but is also one of common pathogens that are most difficult to treat. It infects human skin, soft tissue, mucous membrane, bone and joint, especially in the nosocomial environment. Because studies on Staphylococcus aureus before were largely based on a single gene or protein, it is necessary to study this organism from the whole genome.


METHODS
We used bioinformatics methods including five computational methods (phylogenetic profile, gene neighbor method, operon method, gene fusion method, interolog) to predict the protein interaction network of Staphylococcus aureus.


RESULTS
We constructed the protein interaction network of Staphylococcus aureus and studied its function.


CONCLUSIONS
Through the network analysis, we found that the protein interaction network of Staphylococcus aureus was subject to scale-free property and a number of very important proteins, such as SA0939, SA0868, rpID. Through the analysis of the important cell wall synthesis and signal transduction and regulation local networks, we also found some very important proteins. Such information will help us better understand pathogenic mechanism and develop new drug targets of Staphylococcus aureus.
Liu
Qi
Q
College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China. liuqi_1984@yahoo.com.cn
Jiang
Chunlei
C
Xu
Zhengchao
Z
Xu
Hui
H
Zhao
Rui
R
Qiao
Dairong
D
Cao
Yi
Y
D001426:Bacterial Proteins / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks / Q000502:physiology; D011485:Protein Binding / Q000502:physiology; D013203:Staphylococcal Infections / Q000378:metabolism*; D013211:Staphylococcus aureus / Q000201:enzymology / Q000378:metabolism*
D001426:Bacterial Proteins