Web application for genetic modification flux with database to estimate metabolic fluxes of genetic mutants

J Biosci Bioeng. 2016 Jul;122(1):111-6. doi: 10.1016/j.jbiosc.2015.12.001. Epub 2016 Jan 6.

Abstract

Computational analysis of metabolic fluxes is essential in understanding the structure and function of a metabolic network and in rationally designing genetically modified mutants for an engineering purpose. We had presented the genetic modification flux (GMF) that predicts the flux distribution of a broad range of genetically modified mutants. To enhance the feasibility and usability of GMF, we have developed a web application with a metabolic network database to predict a flux distribution of genetically modified mutants. One hundred and twelve data sets of Escherichia coli, Corynebacterium glutamicum, Saccharomyces cerevisiae, and Chinese hamster ovary were registered as standard models.

Keywords: Elementary mode; Flux mutant prediction; Genetic modification; Genetic mutant database; Metabolic flux analysis; Metabolic flux estimation; Metabolic network data; Systems biology.

MeSH terms

  • Animals
  • CHO Cells
  • Corynebacterium glutamicum / genetics
  • Corynebacterium glutamicum / metabolism
  • Cricetinae
  • Cricetulus / genetics
  • Databases, Factual*
  • Datasets as Topic
  • Escherichia coli / genetics
  • Escherichia coli / metabolism
  • Metabolic Engineering
  • Metabolic Flux Analysis*
  • Metabolic Networks and Pathways / genetics*
  • Models, Biological*
  • Mutation*
  • Saccharomyces cerevisiae / genetics
  • Saccharomyces cerevisiae / metabolism