{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.pdf"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126-biopax3.owl","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126-biopax2.owl"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.svg"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126_url.xml","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126_urn.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.m","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.vcml","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.sci","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.png","https://www.ebi.ac.uk/biomodels/model/download/MODEL9071122126?filename=MODEL9071122126.xpp"]},"type":"primary"},"statusCodeValue":200,"statusCode":"OK"}],"scores":null,"additional":{"submitter":["Sharat Vayttaden"],"curationStatus":["Non-curated"],"modellingApproach":["ordinary differential equation model"],"levelVersion":["L2V1"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/MODEL9071122126"],"publication_pubmed":["9888852"],"isPrivate":["false"],"repository":["BioModels"],"modelFormat":["SBML"],"omics_type":["Models"],"tokenised_name":["Bhalla1999 3d fold model"],"publication_year":["1999"],"submissionId":["MODEL9071122126"],"modelFlag":["Non Kinetic"],"publication_authors":["U S Bhalla, R Iyengar"],"first_author":["U S Bhalla"],"publication":["9888852,\n                            Many distinct signaling pathways allow the cell to receive, process, and respond to information. Often, components of different pathways interact, resulting in signaling networks. Biochemical signaling networks were constructed with experimentally obtained constants and analyzed by computational methods to understand their role in complex biological processes. These networks exhibit emergent properties such as integration of signals across multiple time scales, generation of distinct outputs depending on input strength and duration, and self-sustaining feedback loops. Feedback can result in bistable behavior with discrete steady-state activities, well-defined input thresholds for transition between states and prolonged signal output, and signal modulation in response to transient stimuli. These properties of signaling networks raise the possibility that information for \"learned behavior\" of biological systems may be stored within intracellular biochemical reactions that comprise signaling pathways.. 5400, 283.\n                            Department of Pharmacology, Mount Sinai School of Medicine, New York, NY 10029, USA."],"submitter_mail":["doqcs@ncbs.res.in"],"submitter_affiliation":["DOQCS"],"pubmed_abstract":["Many distinct signaling pathways allow the cell to receive, process, and respond to information. Often, components of different pathways interact, resulting in signaling networks. Biochemical signaling networks were constructed with experimentally obtained constants and analyzed by computational methods to understand their role in complex biological processes. These networks exhibit emergent properties such as integration of signals across multiple time scales, generation of distinct outputs depending on input strength and duration, and self-sustaining feedback loops. Feedback can result in bistable behavior with discrete steady-state activities, well-defined input thresholds for transition between states and prolonged signal output, and signal modulation in response to transient stimuli. These properties of signaling networks raise the possibility that information for \"learned behavior\" of biological systems may be stored within intracellular biochemical reactions that comprise signaling pathways."],"pubmed_title":["Emergent properties of networks of biological signaling pathways."],"pubmed_authors":["Bhalla U S US, Iyengar R R"],"additional_accession":[]},"is_claimable":false,"name":"Bhalla1999_3d_fold_model","description":"\n      \n    This model is based closely on the one from Bhalla US and Iyengar R. Science (1999) 283(5400):381-7. This is a stripped down version with only the essential components of the feedback loop:PKC, Ras and the MAPK cascade, and PLA2 in the synapse. The upregulation of MKP-1 is not incorporated in this model since it is treated as a fixed regulatory input. This model was used to develop figures 2 - 4 which show the bistable region of parameter space when the regulatory inputs Ca, PP2A and MKP-1 are varied.    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":"2011-07-04","publication":"2005-01-01","submission":"2008-03-13"},"accession":"MODEL9071122126","cross_references":{"pubmed":["9888852"],"biomodels__db":["MODEL9071122126"],"taxonomy":["9606"]}}