{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.pdf"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243-biopax2.owl","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243-biopax3.owl"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.svg"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243_urn.xml","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243_url.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.vcml","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.m","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.sci","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.png","https://www.ebi.ac.uk/biomodels/model/download/MODEL2021729243?filename=MODEL2021729243.xpp"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Molecular Systems Biology"],"curationStatus":["Non-curated"],"levelVersion":["L2V1"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/MODEL2021729243"],"publication_pubmed":["17882155"],"isPrivate":["false"],"repository":["BioModels"],"modelFormat":["SBML"],"omics_type":["Models"],"tokenised_name":["MODEL2021729243 url.xml"],"publication_year":["2007"],"submissionId":["MODEL2021729243"],"modelFlag":["Non Kinetic"],"publication_authors":["Hongwu Ma, Anatoly Sorokin, Alexander Mazein, Alex Selkov, Evgeni Selkov, Oleg Demin, Igor Goryanin"],"first_author":["Hongwu Ma"],"publication":["17882155,\n                            A better understanding of human metabolism and its relationship with diseases is an important task in human systems biology studies. In this paper, we present a high-quality human metabolic network manually reconstructed by integrating genome annotation information from different databases and metabolic reaction information from literature. The network contains nearly 3000 metabolic reactions, which were reorganized into about 70 human-specific metabolic pathways according to their functional relationships. By analysis of the functional connectivity of the metabolites in the network, the bow-tie structure, which was found previously by structure analysis, is reconfirmed. Furthermore, the distribution of the disease related genes in the network suggests that the IN (substrates) subset of the bow-tie structure has more flexibility than other parts.. null, 3.\n                            Computational Systems Biology, School of Informatics, The University of Edinburgh, Edinburgh, UK."],"submitter_mail":["msbforum@embo.org"],"submitter_affiliation":["Nature Publishing Group"],"pubmed_abstract":["A better understanding of human metabolism and its relationship with diseases is an important task in human systems biology studies. In this paper, we present a high-quality human metabolic network manually reconstructed by integrating genome annotation information from different databases and metabolic reaction information from literature. The network contains nearly 3000 metabolic reactions, which were reorganized into about 70 human-specific metabolic pathways according to their functional relationships. By analysis of the functional connectivity of the metabolites in the network, the bow-tie structure, which was found previously by structure analysis, is reconfirmed. Furthermore, the distribution of the disease related genes in the network suggests that the IN (substrates) subset of the bow-tie structure has more flexibility than other parts."],"pubmed_title":["The Edinburgh human metabolic network reconstruction and its functional analysis."],"pubmed_authors":["Ma Hongwu H, Sorokin Anatoly A, Mazein Alexander A, Selkov Alex A, Selkov Evgeni E, Demin Oleg O, Goryanin Igor I"],"name_synonyms":["uniformResourceLocator, uniform resource locator (URl), URL Data Type, XML (eXtensible Markup Language), XML, Uniform Resource Locator, Extensible Markup Language, Xinmailong., URL"],"pubmed_abstract_synonyms":["biochemical pathways, Metabolic Networks, Networks, Nearly, other disease, Metabolic Process, Concept Relationship, Important, Previously, human being, Materials, Approximate, determination, conformation, Processes, supply, Different, Consortium or Network, CDISC Relationship Class, Importance, Metabolic Concepts, secondary metabolites, Gene, Network, Metabolic Processes, JTK14, Human, Readability, primary metabolites, It improved, Homo sapiens, diseases, Relations, Metabolism, Concepts, disease or disorder, Importance Rating Score 0, Related, diseases and disorders, Metabolism Concept, Consortium, Contains, Phenomenon, Metabolism Phenomena, Man, Definite, NCI Consortium or Network, Object Relationship, Centers, human disease, In, PARTS, Man (Taxonomy), PRESENT, Genetic, Biology, Genomes, catabolism, distribution, Flexibility, IMPROVED, Better than Others, Association, BETTER/IMPROVED/RECOVERING, Metabolic Concept, Pathways, Former, Parts, metabolic process resulting in cell growth, Comprise, Contain, Almost, metabolic, non-neoplastic, K2p3.1, reaction, Found, Network Interface, Annotation, TIE, biotransformation, disorder, Homo sapiens disease, Better, Approximately, Relationship, Catabolism, Importance Score 0, FORMER, Pathway, Papers, and Consortia, degradation, Process, OAT1, Difference, Modern, metabolism resulting in cell growth, disorders, Estimated Potential Vessel Value, Importance 0, Certain, medical condition, rel, Metabolic Network, Related Attribution, Cistrons, Concept, Metabolic Phenomena, Contained, Literatures, TASK, Metabolism Concepts, TBAK1, tie-1, Systems, chemical analysis, Phenomena, Diseases, About, condition, Cellular, Genetic Materials, secretion, Conflict, Adverse Event Definitely Related to Intervention, supply and distribution, Adverse Event Related to Intervention, Connectivity, metabolism, RELATIONSHIP, Metabolic Pathways, Genetic Material, Metabolic Phenomenon, Definitely Related to Intervention, multicellular organism metabolic process, D430008P04Rik, biodegradation, PPH4, Metabolic, Definite Attribution, Information, Metabolized, Network Device, Relationships, metabolite, Containing, whole genome, Understanding, Presence, Improved, Present, human, rela, Specified, Part Dosing Unit, Reconstructed, disease, Differential, Material, Specific, Info, Modern Man, metabolites, Part., Metabolic Pathway, Cistron, assay, cellular metabolism, TASK-1, Previous, Anabolism"],"description_synonyms":["extent, AW488255, Sectors, Public Sectors, Tb11, YB, NetrinA, AUTSX5, number, D430049E23Rik, Copyrights, NOVH, CCN3, QM, FBXW4, netrin, Yb, Hek6, Cek6, Public Enterprise, Enterprises, CG2706, fs(1)M104, ENSMUSG00000074119, ERP, APUDoma, Erp, Elkh, Ebi, EBI, Public Domains, Tyrosine-protein kinase receptor EPH-2, EK6, SAP-2, Sap-2, IGFBP9, Public Enterprises, DmelCG4063, IBP-9, neuroendocrine tumour, Kiaa4053, 2.7.10.1, Solute carrier family 6 member 2, L10, Etrp, CT27014, NET1, SLC6A5, Tbl1, TBL1, NAT1, netA, NOVh, Enterprise, NET, Net, Elk, ELK, C130099E04Rik, completeness, Neuronally-expressed EPH-related tyrosine kinase, DmelCG2706, EPH tyrosine kinase 2, DXS648, SAP2, SMAP55, 9330129L11, neuroendocrine tumor, net, neuroendocrine neoplasm, presence., count in organism, Norepinephrine transporter, IGFBP-9, Public, Public Domain, Domains, EPH-like kinase 6, NOV, PlexA1, Domain, Data Base, Plxn1, CG4063, nov, hEK6, CG18657, E-2f, mKIAA4053, E-2g, fs(1)Y[b], l(2)k16213, DmelCG18657, Sector, EPHT2, C130088N23Rik, EG:95B7.8, 2600013D04Rik, PLXN1, DXS648E, netrin A"],"pubmed_title_synonyms":["Metabolic Networks, Networks, Pathway, human being, Man (Taxonomy), Metabolic, determination, Optical Image Reconstruction, Modern, chemical analysis., Pathways, Network, Metabolic Network, human, Human, Reconstruction, Reconstructive Surgery, Image Reconstruction, Homo sapiens, Modern Man, reconstructive surgery, Metabolic Pathway, RECONSTRUCTION_TYPE, assay, Man, Metabolic Pathways"],"additional_accession":[]},"is_claimable":false,"name":"MODEL2021729243_url.xml","description":"\n      \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.      \n      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., 4:92.\n  \n\n","dates":{"last_modification":"2018-07-09","publication":"2005-01-01","submission":"2008-03-19"},"accession":"MODEL2021729243","cross_references":{"pubmed":["17882155"],"biomodels__db":["MODEL2021729243"],"taxonomy":["9606"]}}