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Combining Flux Balance and Energy Balance Analysis for Large-Scale Metabolic Network: Biochemical Circuit Theory for Analysis of Large-Scale Metabolic Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Beard, Daniel Liang, Shoudan Qian Biegel, Bryan |
| Copyright Year | 2001 |
| Abstract | Predicting behavior of" large-scale biochemical metabolic networks represents oite of the greatest challenges of bioinformatics and computational biology. Approaches, such as flux balance analysis (FBA), that account for the known stoichiometry of the reaction network while avoiding implementation of detailed reaction kinetics are perhaps the most promising tools for the analysis of large complex networks. As a step towards building a complete theory of biochemical circuit analysis, we introduce energy balance analysis (EBA), which compliments the FBA approach by introducing fundamental constraints based on the first and second laws of thermodynamics. Fluxes obtained with EBA are thermodynamically feasible and provide valuable insight into the activation and suppression of biochemical pathways. Conservation principles impose constraints on the fluxes and chemical potentials associated with biochemical network reactions that are analogous to Kirchoff's current and voltage laws for electrical networks (1). Flux balance analysis (2-13) invokes mass conservation, but does not I Department of Bioengineering, University of Washington, Seattle, WA 98915 2 NASA Ames Research Center, Moffett Field, CA 94035 3 Departments of Applied Mathematics and Bioengineering, University of Washington, Seattle, WA 98195 https://ntrs.nasa.gov/search.jsp?R=2002004315 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20020043150.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
