Journal article
Cellular Metabolic Network Analysis: Discovering Important Reactions in Treponema pallidum
BioMed Research International, 328568
2015
Abstract
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.
Details
- Title
- Cellular Metabolic Network Analysis: Discovering Important Reactions in Treponema pallidum
- Authors
- Xueying Chen (Author) - Peking University, ChinaMin Zhao (Author) - Peking University, ChinaHong Qu (Author) - Peking University, China
- Publication details
- BioMed Research International, 328568; 8
- Publisher
- Hindawi Publishing Corporation
- Date published
- 2015
- DOI
- 10.1155/2015/328568
- ISSN
- 2314-6133
- Copyright note
- Copyright © 2015 Xueying Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99450546502621
- Output Type
- Journal article
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