MENLO PARK, Calif., Jan. 24, 2012 /PRNewswire/ -- SRI International has introduced MetaFlux, a new software tool to substantially decrease the time required for researchers to construct genome-scale models of metabolic networks. Metabolic networks are the complete set of metabolic and physical processes that determine the physiological and biochemical properties of a cell. Genome-scale models are used to predict cell growth rate, combinations of chemicals that can support cell growth, and which genes will cause cell death if they are inactivated.
The new MetaFlux functionality can be used to design drugs against disease-causing bacteria and metabolically engineer bacteria to make chemicals and fuels. It may also yield insights about growth of bacteria that cannot currently be grown in a laboratory.
MetaFlux software couples flux balance analysis (FBA), a mathematical method to analyze metabolism, with pathway databases that contain information about the network of interactions between proteins and small molecules that forms the biochemical factory of a cell.
"Genome-scale models are very time consuming to construct, because they require an exact description of the hundreds of biochemical reactions within a cell—and a single missing reaction can render a model nonfunctional," said Peter D. Karp, Ph.D., director, Bioinformatics Research Group, SRI International. "Our goals were to speed up the development of these models and allow a wider community of scientists to build them. SRI's Bioinformatics Research group has already developed two different FBA models using MetaFlux, each within one month of effort."
Based on mixed integer linear programming, MetaFlux uses a multiple gap-filling method to accelerate the development of FBA models. This method generates the models directly from pathway/genome databases, which can be constructed, queried, and visualized using SRI's Pathway Tools software. MetaFlux can also sugges
|SOURCE SRI International|
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