{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.pdf"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.svg"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357-biopax2.owl","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357-biopax3.owl"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357_url.xml","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357_urn.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.xpp","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.sci","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.png","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.vcml","https://www.ebi.ac.uk/biomodels/model/download/MODEL2784700357?filename=MODEL2784700357.m"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Molecular Systems Biology"],"curationStatus":["Non-curated"],"levelVersion":["L2V3"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/MODEL2784700357"],"publication_pubmed":["17437024"],"isPrivate":["false"],"repository":["BioModels"],"modelFormat":["SBML"],"omics_type":["Models"],"tokenised_name":["Feala2007 dros mel central metabolism"],"publication_year":["2007"],"submissionId":["MODEL2784700357"],"modelFlag":["Non Kinetic"],"publication_authors":["Jacob D Feala, Laurence Coquin, Andrew D McCulloch, Giovanni Paternostro"],"first_author":["Jacob D Feala"],"publication":["17437024,\n                            The fruitfly Drosophila melanogaster offers promise as a genetically tractable model for studying adaptation to hypoxia at the cellular level, but the metabolic basis for extreme hypoxia tolerance in flies is not well known. Using (1)H NMR spectroscopy, metabolomic profiles were collected under hypoxia. Accumulation of lactate, alanine, and acetate suggested that these are the major end products of anaerobic metabolism in the fly. A constraint-based model of ATP-producing pathways was built using the annotated genome, existing models, and the literature. Multiple redundant pathways for producing acetate and alanine were added and simulations were run in order to find a single optimal strategy for producing each end product. System-wide adaptation to hypoxia was then investigated in silico using the refined model. Simulations supported the hypothesis that the ability to flexibly convert pyruvate to these three by-products might convey hypoxia tolerance by improving the ATP/H(+) ratio and efficiency of glucose utilization.. null, 3.\n                            Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA."],"submitter_mail":["msbforum@embo.org"],"submitter_affiliation":["Nature Publishing Group"],"pubmed_abstract":["The fruitfly Drosophila melanogaster offers promise as a genetically tractable model for studying adaptation to hypoxia at the cellular level, but the metabolic basis for extreme hypoxia tolerance in flies is not well known. Using (1)H NMR spectroscopy, metabolomic profiles were collected under hypoxia. Accumulation of lactate, alanine, and acetate suggested that these are the major end products of anaerobic metabolism in the fly. A constraint-based model of ATP-producing pathways was built using the annotated genome, existing models, and the literature. Multiple redundant pathways for producing acetate and alanine were added and simulations were run in order to find a single optimal strategy for producing each end product. System-wide adaptation to hypoxia was then investigated in silico using the refined model. Simulations supported the hypothesis that the ability to flexibly convert pyruvate to these three by-products might convey hypoxia tolerance by improving the ATP/H(+) ratio and efficiency of glucose utilization."],"pubmed_title":["Flexibility in energy metabolism supports hypoxia tolerance in Drosophila flight muscle: metabolomic and computational systems analysis."],"pubmed_authors":["Feala Jacob D JD, Coquin Laurence L, McCulloch Andrew D AD, Paternostro Giovanni G"],"name_synonyms":["biochemical pathways, RAB8, multicellular organism metabolic process, Metabolic Process, AA409338, isolated, biodegradation, Metabolic, degradation, Process, catabolism, Processes, metabolism resulting in cell growth, melorheostosis, Metabolic Concepts, Metabolic Concept, metabolic process resulting in cell growth, Metabolic Processes, Anabolism., Concept, Metabolic Phenomena, Metabolism Concepts, Mouse Erythroleukemia cell line, Metabolism, Phenomena, Concepts, biotransformation, secretion, MEL, Mel, 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Enterprise, ALD, NET, Net, DRR, C130099E04Rik, DRY, CG4482, LRP, DmelCG2706, l(2)35Bb, EPH tyrosine kinase 2, DXS648, genus>, SMAP55, ald, neuroendocrine tumor, net, System Dynamics Analyses, presence., DmelCG6058, Anoxia, System Dynamics, count in organism, Dynamics Analysis, Immune Tolerance, dry, IGFBP-9, Public, Systems, TGFBR5, Systems Thinking, Approach, Complexity Analysis, Data Base, Energy Expenditure, l(2)k00424, dRyR, Scales, Energy Expenditures, CG15268, Systems Medicine, CG18657, Bioenergetic, l(2)k16213, Fruit Flies, br3, l(2)k04913, Deficiency, Systems Approach, Agent-Based Modeling, EPHT2, EG:95B7.8, Fruit Fly, 2600013D04Rik, NIP, netrin A, Immunological Tolerance, Rya-r76CD"],"pubmed_title_synonyms":["subgenus>, Thinkings, fruit fly, Agent Based Modeling, Drosophila Fallen, Thinking, Agent-Based Modelings, Metabolisms, Systems Medicines., Complexity, Deficiencies, System Dynamics Analysis, Metabonomic, Bioenergetics, Systems Oriented, genus>, Metabonomics, System 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 \n        Model described in:      \n        Flexibility in energy metabolism supports hypoxia tolerance in Drosophila flight muscle: metabolomic and computational systems analysis.\n        \n          Feala JD, Coquin L, McCulloch AD, Paternostro G.; Mol Syst Biol. 2007;3:99. Epub 2007 Apr 17. pmid:      17437024\n        \n    \n    It was significantly altered to make it valid SBML:      \n          All reactions with neither reactants or products and all bounds and weights for FBA where commented out. Also all fluxes where multiplied by dry weight= 1 g, just to get correct units.      \n          The original model can be found as a      supplement\n          to the article, doi:      10.1038/msb.2008.54\n          , at Nature Molecular Systems Biology.      \n  This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.      \n          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      CC0 Public Domain Dedication\n          for more information.      In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..      \n          To cite BioModels Database, please use:      Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.\n\n\n","dates":{"last_modification":"2008-09-05","publication":"2005-01-01","submission":"2008-09-05"},"accession":"MODEL2784700357","cross_references":{"pubmed":["17437024"],"biomodels__db":["MODEL2784700357"],"taxonomy":["7227"]}}