Context-Specific Metabolic Networks Are Consistent with Experiments
University of California, San Diego
Abstract
Reconstructions of cellular metabolism are publicly available for a variety of different microorganisms and some mammalian genomes. To date, these reconstructions are "genome-scale" and strive to include all reactions implied by the genome annotation, as well as those with direct experimental evidence. Clearly, many of the reactions in a genome-scale reconstruction will not be active under particular conditions or in a particular cell type. Methods to tailor these comprehensive genome-scale reconstructions into context-specific networks will aid predictive in silico modeling for a particular situation. We present a method called Gene Inactivity Moderated by Metabolism and Expression (GIMME) to achieve this…
Citation impact
- FWCI
- 5.47
- Percentile
- 100%
- References
- 29
Authors
2Topics & keywords
- In silico
- Computational biology
- Genome
- Metabolic network
- Systems biology
- Context (archaeology)
- Biology
- Gene expression profiling