{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.pdf"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.svg"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002-biopax2.owl","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002-biopax3.owl"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002_url.xml","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002_urn.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.sci","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.png","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.xpp","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.m","https://www.ebi.ac.uk/biomodels/model/download/MODEL1008120002?filename=MODEL1008120002.vcml"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Michaël Bekaert"],"curationStatus":["Non-curated"],"levelVersion":["L2V4"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/MODEL1008120002"],"publication_pubmed":["21051442"],"isPrivate":["false"],"repository":["BioModels"],"modelFormat":["SBML"],"omics_type":["Models"],"tokenised_name":["Bekaert2010 mouse inferred metabolic network"],"publication_year":["2011"],"submissionId":["MODEL1008120002"],"modelFlag":["Non Kinetic"],"publication_authors":["Michaël Bekaert, Gavin C Conant"],"first_author":["Michaël Bekaert"],"publication":["21051442,\n                            Using two high-quality human metabolic networks, we employed comparative genomics techniques to infer metabolic network structures for seven other mammals. We then studied copy number alterations (CNAs) in these networks. Using a graph-theoretic approach, we show that the pattern of CNAs is distinctly different from the random distributions expected under genetic drift. Instead, we find that changes in copy number are most common among transporter genes and that the CNAs differ depending on the mammalian lineage in question. Thus, we find an excess of transporter genes in cattle involved in the milk production, secretion, and regulation. These results suggest a potential role for dosage selection in the evolution of mammalian metabolic networks.. 2, 28.\n                            Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA. bekaertm@missouri.edu"],"submitter_mail":["bekaertm@missouri.edu"],"submitter_affiliation":["University of Missouri"],"pubmed_abstract":["Using two high-quality human metabolic networks, we employed comparative genomics techniques to infer metabolic network structures for seven other mammals. We then studied copy number alterations (CNAs) in these networks. Using a graph-theoretic approach, we show that the pattern of CNAs is distinctly different from the random distributions expected under genetic drift. Instead, we find that changes in copy number are most common among transporter genes and that the CNAs differ depending on the mammalian lineage in question. Thus, we find an excess of transporter genes in cattle involved in the milk production, secretion, and regulation. These results suggest a potential role for dosage selection in the evolution of mammalian metabolic networks."],"pubmed_title":["Copy number alterations among mammalian enzymes cluster in the metabolic network."],"pubmed_authors":["Bekaert Michaël M, Conant Gavin C GC"],"additional_accession":[]},"is_claimable":false,"name":"Bekaert2010_mouse_inferred_metabolic_network","description":"\n      \n        Orthologous iso-enzyme metabolic network for Mus musculus\n        \n          Copy number alterations in the mammalian metabolic network co-occur in clusters\n          \n          Michael Bekaert and Gavin C. Conant      \n          in preparation\n      \n      \n        \n          Clusters of innovation in the mammalian metabolic network\n        \n        \n          Michael Bekaert and Gavin C. Conant      \n        18th Annual International Conference on Intelligent System fot Molecular Biology. Boston, USA, July 11-13th, 2010\n    \n    Gene references from ensembl release 50      \n          This biomodel is an inferred model based on the Human metabolic network (MODEL6399676120)      \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          .      \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., 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