Abstract
With sequencing of thousands of organisms completed or in progress, there is a growing need to integrate gene prediction with metabolic network analysis. Using Chlamydomonas reinhardtii as a model, we describe a systems-level methodology bridging metabolic network reconstruction with experimental verification of enzyme encoding open reading frames. Our quantitative and predictive metabolic model and its associated cloned open reading frames provide useful resources for metabolic engineering.
Publication types
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Animals
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Chlamydomonas reinhardtii / enzymology
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Chlamydomonas reinhardtii / genetics
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Chlamydomonas reinhardtii / metabolism*
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Computational Biology / methods*
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Computer Simulation
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Enzymes / genetics
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Enzymes / metabolism
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Genetic Engineering
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Genome, Protozoan*
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Models, Genetic*
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Protozoan Proteins / genetics
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Protozoan Proteins / metabolism*
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Transcription, Genetic*
Substances
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Enzymes
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Protozoan Proteins