<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/MODEL4132046015?filename=MODEL4132046015.pdf</Pdf><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015-biopax2.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015-biopax3.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015_urn.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015_url.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.m</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.xpp</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.png</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL4132046015?filename=MODEL4132046015.vcml</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Nicolas Le Novère</submitter><curationStatus>Non-curated</curationStatus><levelVersion>L2V1</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL4132046015</full_dataset_link><publication_pubmed>18319725</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Calzone2008 Rb</tokenised_name><publication_year>2008</publication_year><submissionId>MODEL4132046015</submissionId><modelFlag>Non Kinetic</modelFlag><publication_authors>Laurence Calzone, Amélie Gelay, Andrei Zinovyev, François Radvanyi, Emmanuel Barillot</publication_authors><first_author>Laurence Calzone</first_author><publication>18319725,
                            We present, here, a detailed and curated map of molecular interactions taking place in the regulation of the cell cycle by the retinoblastoma protein (RB/RB1). Deregulations and/or mutations in this pathway are observed in most human cancers. The map was created using Systems Biology Graphical Notation language with the help of CellDesigner 3.5 software and converted into BioPAX 2.0 pathway description format. In the current state the map contains 78 proteins, 176 genes, 99 protein complexes, 208 distinct chemical species and 165 chemical reactions. Overall, the map recapitulates biological facts from approximately 350 publications annotated in the diagram. The network contains more details about RB/E2F interaction network than existing large-scale pathway databases. Structural analysis of the interaction network revealed a modular organization of the network, which was used to elaborate a more summarized, higher-level representation of RB/E2F network. The simplification of complex networks opens the road for creating realistic computational models of this regulatory pathway.. null, 4.
                            Institut Curie, Service Blolnforrnatique, Paris, France.</publication><submitter_mail>lenov@ebi.ac.uk</submitter_mail><submitter_affiliation>EBML-EBI</submitter_affiliation><pubmed_abstract>We present, here, a detailed and curated map of molecular interactions taking place in the regulation of the cell cycle by the retinoblastoma protein (RB/RB1). Deregulations and/or mutations in this pathway are observed in most human cancers. The map was created using Systems Biology Graphical Notation language with the help of CellDesigner 3.5 software and converted into BioPAX 2.0 pathway description format. In the current state the map contains 78 proteins, 176 genes, 99 protein complexes, 208 distinct chemical species and 165 chemical reactions. Overall, the map recapitulates biological facts from approximately 350 publications annotated in the diagram. The network contains more details about RB/E2F interaction network than existing large-scale pathway databases. Structural analysis of the interaction network revealed a modular organization of the network, which was used to elaborate a more summarized, higher-level representation of RB/E2F network. The simplification of complex networks opens the road for creating realistic computational models of this regulatory pathway.</pubmed_abstract><pubmed_title>A comprehensive modular map of molecular interactions in RB/E2F pathway.</pubmed_title><pubmed_authors>Calzone Laurence L, Gelay Amélie A, Zinovyev Andrei A, Radvanyi François F, Barillot Emmanuel E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Calzone2008_Rb</name><description>
      
    Protein names are HUGO names or usual names. In the latter case, they are identified with a star (*) and the HUGO name is given in notes.    This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/).      
          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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