Enhanced flux balance analysis to model metabolic networks
Pages 358 - 361
Abstract
Flux Balance Analysis (FBA) is a widely used technique to predict rates of reactions in metabolic networks in cells under steady state using only stoichiometric information about the reactions. In this work, we introduce Enhanced Flux Balance Analysis (eFBA) which is an enhancement of FBA with several advantages over FBA: (1) eFBA seamlessly handles multi-enzyme multi-reaction associations; (2) it estimates (relative) enzyme concentrations optimizing a global objective function; (3) it provides tighter upper and lower bounds on reaction rates; (4) it gives a simpler and more accurate approach to do gene deletion/inhibition studies for finding essential genes; (5) it finds flux-limiting genes/ enzymes. Moreover, eFBA retains the simplicity of FBA, and it models metabolic networks more faithfully.
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- Enhanced flux balance analysis to model metabolic networks
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Published In
August 2010
705 pages
ISBN:9781450304382
DOI:10.1145/1854776
- General Chairs:
- Aidong Zhang,
- Mark Borodovsky,
- Program Chairs:
- Gultekin Ozsoyoglu,
- Armin Mikler
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Published: 02 August 2010
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BCB'10: ACM International Conference on Bioinformatics and Computational Biology
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