<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/MODEL4992089662?filename=MODEL4992089662.pdf</Pdf><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662-biopax2.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662-biopax3.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662_urn.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662_url.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.vcml</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.xpp</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4992089662?filename=MODEL4992089662.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/MODEL4992089662</full_dataset_link><publication_pubmed>15854674</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Banaji2005 Brain Cell Metabolism</tokenised_name><publication_year>2005</publication_year><submissionId>MODEL4992089662</submissionId><modelFlag>Non Miriam</modelFlag><publication_authors>Murad Banaji, Ilias Tachtsidis, David Delpy, Stephen Baigent</publication_authors><first_author>Murad Banaji</first_author><publication>15854674,
                            The construction of a computational model of the human brain circulation is described. We combine an existing model of the biophysics of the circulatory system, a basic model of brain metabolic biochemistry, and a model of the functioning of vascular smooth muscle (VSM) into a single model. This represents a first attempt to understand how the numerous different feedback pathways by which cerebral blood flow is controlled interact with each other. The present work comprises the following: Descriptions of the physiology underlying the model; general comments on the processes by which this physiology is translated into mathematics; comments on parameter setting; and some simulation results. The simulations presented are preliminary, but show qualitative agreement between model behaviour and experimental results.. 2, 194.
                            Department of Medical Physics and Bioengineering, University College London, Gower Street, London WC1E 6BT, UK. m.banaji@ucl.ac.uk</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>The construction of a computational model of the human brain circulation is described. We combine an existing model of the biophysics of the circulatory system, a basic model of brain metabolic biochemistry, and a model of the functioning of vascular smooth muscle (VSM) into a single model. This represents a first attempt to understand how the numerous different feedback pathways by which cerebral blood flow is controlled interact with each other. The present work comprises the following: Descriptions of the physiology underlying the model; general comments on the processes by which this physiology is translated into mathematics; comments on parameter setting; and some simulation results. The simulations presented are preliminary, but show qualitative agreement between model behaviour and experimental results.</pubmed_abstract><pubmed_title>A physiological model of cerebral blood flow control.</pubmed_title><pubmed_authors>Banaji Murad M, Tachtsidis Ilias I, Delpy David D, Baigent Stephen S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Banaji2005_Brain_Cell_Metabolism</name><description>
      
        This is a part of the model described in:      
        A physiological model of cerebral blood flow control
        
          Murad Banaji, Ilias Tachtsidis, David Delpy, Stephen Baigent,      Mathematical biosciences
          2005 194:125-173; PMID:      15854674
          , doi:      10.1016/j.mbs.2004.10.005
        
          Abstract:      
          The construction of a computational model of the human brain circulation is described. We combine an existing model of the biophysics of the circulatory system, a basic model of brain metabolic biochemistry, and a model of the functioning of vascular smooth muscle (VSM) into a single model. This represents a first attempt to understand how the numerous different feedback pathways by which cerebral blood flow is controlled interact with each other. The present work comprises the following: Descriptions of the physiology underlying the model; general comments on the processes by which this physiology is translated into mathematics; comments on parameter setting; and some simulation results. The simulations presented are preliminary, but show qualitative agreement between model behaviour and experimental results.      
      The model represents the intracellular component of the model, and is translated from the implementation available with the      braincirc
          package.      
    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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