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- Title
Constraint-based models predict metabolic and associated cellular functions.
- Authors
Bordbar, Aarash; Monk, Jonathan M.; King, Zachary A.; Palsson, Bernhard O.
- Abstract
The prediction of cellular function from a genotype is a fundamental goal in biology. For metabolism, constraint-based modelling methods systematize biochemical, genetic and genomic knowledge into a mathematical framework that enables a mechanistic description of metabolic physiology. The use of constraint-based approaches has evolved over ~30 years, and an increasing number of studies have recently combined models with high-throughput data sets for prospective experimentation. These studies have led to validation of increasingly important and relevant biological predictions. As reviewed here, these recent successes have tangible implications in the fields of microbial evolution, interaction networks, genetic engineering and drug discovery.
- Subjects
GENETIC engineering; GENETIC polymorphisms; BIOCHEMISTRY; GENETIC research; MICROBIAL evolution
- Publication
Nature Reviews Genetics, 2014, Vol 15, Issue 2, p107
- ISSN
1471-0056
- Publication type
Article
- DOI
10.1038/nrg3643