<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Pdf>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.pdf</Pdf><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001-biopax2.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001-biopax3.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001_url.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001_urn.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.vcml</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.xpp</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1103210001?filename=MODEL1103210001.m</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Kieran Smallbone</submitter><curationStatus>Non-curated</curationStatus><modellingApproach>ordinary differential equation model</modellingApproach><levelVersion>L2V4</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL1103210001</full_dataset_link><publication_pubmed>11294796</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Jamshidi01 RBC MetabolicNetwork</tokenised_name><publication_year>2001</publication_year><submissionId>MODEL1103210001</submissionId><publication_authors>Neema Jamshidi, J S Edwards, T Fahland, George Church, B O Palsson</publication_authors><first_author>Neema Jamshidi</first_author><publication>11294796,
                            We have developed a Mathematica application package to perform dynamic simulations of the red blood cell (RBC) metabolic network. The package relies on, and integrates, many years of mathematical modeling and biochemical work on red blood cell metabolism. The extensive data regarding the red blood cell metabolic network and the previous kinetic analysis of all the individual components makes the human RBC an ideal 'model' system for mathematical metabolic models. The Mathematica package can be used to understand the dynamics and regulatory characteristics of the red blood cell.. 3, 17.
                            Department of Bioengineering, University of California-San Diego, La Jolla, CA 92093, USA.</publication><submitter_mail>kieran.smallbone@ncl.ac.uk</submitter_mail><submitter_affiliation>Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK.</submitter_affiliation><pubmed_abstract>We have developed a Mathematica application package to perform dynamic simulations of the red blood cell (RBC) metabolic network. The package relies on, and integrates, many years of mathematical modeling and biochemical work on red blood cell metabolism. The extensive data regarding the red blood cell metabolic network and the previous kinetic analysis of all the individual components makes the human RBC an ideal 'model' system for mathematical metabolic models. The Mathematica package can be used to understand the dynamics and regulatory characteristics of the red blood cell.</pubmed_abstract><pubmed_title>Dynamic simulation of the human red blood cell metabolic network.</pubmed_title><pubmed_authors>Jamshidi N N, Edwards J S JS, Fahland T T, Church G M GM, Palsson B O BO</pubmed_authors></additional><is_claimable>false</is_claimable><name>Jamshidi01_RBC_MetabolicNetwork</name><description>
      
        
          Dynamic simulation of the human red blood cell metabolic network
          
          Neema Jamshidi, Jeremy S. Edwards, Tom Fahland, George M. Church, Bernhard O. Palsson,      Bioinformatics
          2001 17:286-287      
        This SBML file was created from      run_kinetic.m
          (very kindly provided by Keren Yizhak) - a Matlab implementation of the original      Mathematica workbook
          .      
      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.


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