BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.pdfhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594_urn.xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.xpphttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.scihttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.pnghttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.mhttps://www.ebi.ac.uk/biomodels/model/download/MODEL2021747594?filename=MODEL2021747594.vcmlprimaryOK200Molecular Systems BiologyNon-curatedL2V1https://www.ebi.ac.uk/biomodels/MODEL202174759417882155falseBioModelsSBMLModelsMODEL2021747594 url.xml2007MODEL2021747594Non KineticHongwu Ma, Anatoly Sorokin, Alexander Mazein, Alex Selkov, Evgeni Selkov, Oleg Demin, Igor GoryaninHongwu Ma17882155, 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. Computational Systems Biology, School of Informatics, The University of Edinburgh, Edinburgh, UK.msbforum@embo.orgNature Publishing GroupA 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.The Edinburgh human metabolic network reconstruction and its functional analysis.Ma Hongwu H, Sorokin Anatoly A, Mazein Alexander A, Selkov Alex A, Selkov Evgeni E, Demin Oleg O, Goryanin Igor Iextent, 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 AuniformResourceLocator, uniform resource locator (URl), URL Data Type, XML (eXtensible Markup Language), XML, Uniform Resource Locator, Extensible Markup Language, Xinmailong., URLbiochemical pathways, other disease, Metabolic Process, human being, Materials, Papers, degradation, Process, determination, conformation, OAT1, Processes, supply, Modern, metabolism resulting in cell growth, Metabolic Concepts, disorders, Gene, medical condition, Metabolic Processes, Cistrons, JTK14, Human, Concept, Metabolic Phenomena, Literatures, TASK, Metabolism Concepts, Readability, TBAK1, tie-1, Homo sapiens, diseases, Metabolism, Systems, chemical analysis, Phenomena, Diseases, Concepts, disease or disorder, condition, Genetic Materials, secretion, diseases and disorders, supply and distribution, Metabolism Concept, Phenomenon, Metabolism Phenomena, metabolism, Man, Genetic Material, Metabolic Phenomenon, Flexibility., multicellular organism metabolic process, human disease, Man (Taxonomy), D430008P04Rik, Genetic, biodegradation, PPH4, Metabolic, Biology, Genomes, catabolism, distribution, Metabolic Concept, metabolic process resulting in cell growth, whole genome, Understanding, human, non-neoplastic, K2p3.1, disease, reaction, Material, Modern Man, TIE, biotransformation, disorder, Homo sapiens disease, Cistron, assay, TASK-1, Catabolism, AnabolismHuman, chemical analysis., assay, human being, Man (Taxonomy), Homo sapiens, determination, Man, Modern Man, human, ModernfalseMODEL2021747594_url.xml 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. 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 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.. 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. 2018-07-092005-01-012008-03-19MODEL202174759417882155MODEL20217475949606