OptForce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions

Computational procedures for predicting metabolic interventions leading to the overproduction of biochemicals in microbial strains are widely in use. However, these methods rely on surrogate biological objectives (e.g., maximize growth rate or minimize metabolic adjustments) and do not make use of f...

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Veröffentlicht in:	PLoS computational biology 2010-04, Vol.6 (4), p.e1000744-e1000744
Hauptverfasser:	Ranganathan, Sridhar, Suthers, Patrick F, Maranas, Costas D
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biochemistry/Bioinformatics Biomass Biotechnology/Bioengineering Chemical properties Computational Biology/Metabolic Networks Computational Biology/Systems Biology Computer Simulation E coli Escherichia coli Escherichia coli - genetics Escherichia coli - metabolism Experiments Gene expression Gene Expression Regulation Genetic aspects Genetic engineering Genetic Engineering - methods Health aspects Mathematical models Mathematical optimization Metabolic Networks and Pathways Microbiology Models, Genetic Models, Statistical Studies Succinates Succinic Acid - metabolism Systems Biology - methods
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