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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Du Hui |
| Copyright Year | 2009 |
| Abstract | Because detailed kinetic parameters are hardly available, topological analysis of inter-networks has proved to be greatly helpful to analyze genome-scale metabolic networks. Among lots of topological analysis approaches, centrality methods could be help to determine the most important nodes of a network and thus in helping to look for important metabolites in metabolic networks, as well as drug target and therapy design. In this paper, according to the standard hub-based centrality method, we studied the top 10 important metabolites in human metabolic network core with their biological and therapeutic signification. |
| Starting Page | 88 |
| Ending Page | 90 |
| File Size | 426639 |
| Page Count | 3 |
| File Format | |
| ISBN | 9780769536767 |
| DOI | 10.1109/FCC.2009.18 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Genomics Biochemistry Proteins Databases Physics computing hub centrality Complex networks Computer networks Kinetic theory Bioinformatics metabolic network |
| Content Type | Text |
| Resource Type | Article |
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