title: Predicting the physiological role of circadian metabolic regulation in the green alga Chlamydomonas reinhardtii.
abstract: Although the number of reconstructed metabolic networks is steadily growing, experimental data integration into these networks is still challenging. Based on elementary flux mode analysis, we combine sequence information with metabolic pathway analysis and include, as a novel aspect, circadian regulation. While minimizing the need of assumptions, we are able to predict changes in the metabolic state and can hypothesise on the physiological role of circadian control in nitrogen metabolism of the green alga Chlamydomonas reinhardtii.
authors: Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
authors: Sascha
authors: S
authors: Schäuble
authors: Ines
authors: I
authors: Heiland
authors: Olga
authors: O
authors: Voytsekh
authors: Maria
authors: M
authors: Mittag
authors: Stefan
authors: S
authors: Schuster
mesh_terms: D000596:Amino Acids / Q000378:metabolism; D002244:Carbon / Q000378:metabolism; D016825:Chlamydomonas reinhardtii / Q000235:genetics / Q000502:physiology*; D002940:Circadian Rhythm / Q000502:physiology*; D015536:Down-Regulation; D053858:Metabolic Networks and Pathways; D009584:Nitrogen / Q000378:metabolism; D016601:RNA-Binding Proteins / Q000378:metabolism; D013045:Species Specificity
chemical_list: D000596:Amino Acids; D016601:RNA-Binding Proteins; D002244:Carbon; D009584:Nitrogen