Abstract
The recent demonstration that biochemical pathways from diverse organisms are arranged in scale-free, rather than random, systems [Jeong et al., Nature 407 (2000) 651-654], emphasizes the importance of developing methods for the identification of biochemical nexuses - the nodes within biochemical pathways that serve as the major input/output hubs, and therefore represent potentially important targets for modulation. Here we describe a bioinformatics approach that identifies candidate nexuses for biochemical pathways without requiring functional gene annotation; we also provide proof-of-principle experiments to support this technique. This approach, called Nexxus, may lead to the identification of new signal transduction pathways and targets for drug design.
Original language | English |
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Pages (from-to) | 230-234 |
Number of pages | 5 |
Journal | FEBS Letters |
Volume | 509 |
Issue number | 2 |
DOIs | |
State | Published - 7 Dec 2001 |
Keywords
- Cerebral ischemia
- DNA microarray
- Functional genomics
- Graph theory
- Yeast cell cycle
- Yeast metabolism