Genetic modification of flux for flux prediction of mutants | Zendy

Quanyu Zhao | Zendy; Hiroyuki Kurata | Zendy

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Genetic modification of flux for flux prediction of mutants

Author(s) -

Quanyu Zhao,

Hiroyuki Kurata

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp298

Subject(s) - mutant , flux balance analysis , flux (metallurgy) , gene , metabolic engineering , metabolic flux analysis , computational biology , genetics , biology , corynebacterium glutamicum , mutation , phenotype , biological system , chemistry , biochemistry , organic chemistry , metabolism

Gene deletion and overexpression are critical technologies for designing or improving the metabolic flux distribution of microbes. Some algorithms including flux balance analysis (FBA) and minimization of metabolic adjustment (MOMA) predict a flux distribution from a stoichiometric matrix in the mutants in which some metabolic genes are deleted or non-functional, but there are few algorithms that predict how a broad range of genetic modifications, such as over- and underexpression of metabolic genes, alters the phenotypes of the mutants at the metabolic flux level.

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