{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Nicolas Le Novère"],"journal":["BMC genomics"],"pagination":["202"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL1507180005"],"repository":["biostudies-other"],"additional_accession":["20338070"],"pubmed_authors":["Nicolas Le Novère"]},"is_claimable":false,"name":"Alam2010 - Genome-scale metabolic network of Streptomyces coelicolor","description":"<notes xmlns=\"http://www.sbml.org/sbml/level3/version1/core\">      <body xmlns=\"http://www.w3.org/1999/xhtml\">        <div class=\"dc:title\">Alam2010 - Genome-scale metabolic network ofStreptomyces coelicolor</div><div class=\"dc:bibliographicCitation\">  <p>This model is described in the article:</p>  <div class=\"bibo:title\">    <a href=\"http://identifiers.org/pubmed/20338070\" title=\"Access to this publication\">Metabolic modeling and    analysis of the metabolic switch in Streptomyces    coelicolor.</a>  </div>  <div class=\"bibo:authorList\">Alam MT, Merlo ME, STREAM  Consortium, Hodgson DA, Wellington EM, Takano E, Breitling  R.</div>  <div class=\"bibo:Journal\">BMC Genomics 2010; 11: 202</div>  <p>Abstract:</p>  <div class=\"bibo:abstract\">    <p>BACKGROUND: The transition from exponential to stationary    phase in Streptomyces coelicolor is accompanied by a major    metabolic switch and results in a strong activation of    secondary metabolism. Here we have explored the underlying    reorganization of the metabolome by combining computational    predictions based on constraint-based modeling and detailed    transcriptomics time course observations. RESULTS: We    reconstructed the stoichiometric matrix of S. coelicolor,    including the major antibiotic biosynthesis pathways, and    performed flux balance analysis to predict flux changes that    occur when the cell switches from biomass to antibiotic    production. We defined the model input based on observed    fermenter culture data and used a dynamically varying objective    function to represent the metabolic switch. The predicted    fluxes of many genes show highly significant correlation to the    time series of the corresponding gene expression data.    Individual mispredictions identify novel links between    antibiotic production and primary metabolism. CONCLUSION: Our    results show the usefulness of constraint-based modeling for    providing a detailed interpretation of time course gene    expression data.</p>  </div></div><div class=\"dc:publisher\">  <p>This model is hosted on   <a href=\"http://www.ebi.ac.uk/biomodels/\">BioModels Database</a>  and identified by:   <a href=\"http://identifiers.org/biomodels.db/MODEL1507180005\">MODEL1507180005</a>.</p>  <p>To cite BioModels Database, please use:   <a href=\"http://identifiers.org/pubmed/20587024\" title=\"Latest BioModels Database publication\">BioModels Database:  An enhanced, curated and annotated resource for published  quantitative kinetic models</a>.</p></div><div class=\"dc:license\">  <p>To the extent possible under law, all copyright and related or  neighbouring rights to this encoded model have been dedicated to  the public domain worldwide. Please refer to   <a href=\"http://creativecommons.org/publicdomain/zero/1.0/\" title=\"Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication\">CC0  Public Domain Dedication</a> for more information.</p></div></body>    </notes>","dates":{"release":"2015-07-18T00:00:00Z","modification":"2025-07-15T09:11:18.3Z","creation":"2025-03-30T21:56:13.097Z"},"accession":"MODEL1507180005","cross_references":{"pubmed":["20338070"],"mamo":["MAMO_0000009"],"unknown":["null"]}}