Cellular metabolic network analysis: discovering important reactions in Treponema pallidum.
T. pallidum, the syphilis-causing pathogen, performs very differently in metabolism compared with other bacterial pathogens. The desire for safe and effective vaccine of syphilis requests identification of important steps in T. pallidum's metabolism. Here, we apply Flux Balance Analysis to represent the reactions quantitatively. Thus, it is possible to cluster all reactions in T. pallidum. By calculating minimal cut sets and analyzing topological structure for the metabolic network of T. pallidum, critical reactions are identified. As a comparison, we also apply the analytical approaches to the metabolic network of H. pylori to find coregulated drug targets and unique drug targets for different microorganisms. Based on the clustering results, all reactions are further classified into various roles. Therefore, the general picture of their metabolic network is obtained and two types of reactions, both of which are involved in nucleic acid metabolism, are found to be essential for T. pallidum. It is also discovered that both hubs of reactions and the isolated reactions in purine and pyrimidine metabolisms play important roles in T. pallidum. These reactions could be potential drug targets for treating syphilis.
Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing 100871, China.
Xueying
X
Chen
Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing 100871, China.
Min
M
Zhao
Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing 100871, China.
Hong
H
Qu
D001426:Bacterial Proteins / Q000378:metabolism*; D003198:Computer Simulation; D015964:Gene Expression Regulation, Bacterial / Q000502:physiology; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D055442:Metabolome / Q000502:physiology*; D055432:Metabolomics / Q000379:methods*; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D014210:Treponema pallidum / Q000378:metabolism*
D001426:Bacterial Proteins