Predicting microbial growth

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Science  27 Jun 2014:
Vol. 344, Issue 6191, pp. 1448-1449
DOI: 10.1126/science.1253388

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Cellular functions result from biochemical interactions among thousands of components within the cell. The growing availability of annotated genome sequences and a plethora of biochemical data allow these interactions to be assembled on a genome scale for model microorganisms. This detailed biochemical information can be converted into a computational model—a genome-scale model, or GEM (1)—that allows phenotypic functions to be predicted. Both environmental and genetic parameters are explicitly accounted for in GEMs, enabling increasingly accurate predictions of the genotype-phenotype relationship in a given environment.