{"database":"Cell Collective","file_versions":[],"scores":null,"additional":{"omics_type":["Models"],"submitter":["Tomas Helikar"],"version_name":[""],"full_dataset_link":["https://cellcollective.org/#2396/mammalian-cell-cycle-2006"],"model_score":["132.8041"],"default_version":["1"],"ModelFormat":["SBML"],"submitter_affiliation":[""],"submitter_email":[""],"version_id":["1"],"repository":["Cell Collective"],"version_url":["https://cellcollective.org/#2396:1/mammalian-cell-cycle-2006"],"version_description":[""],"pubmed_abstract":["<h4>Motivation</h4>To understand the behaviour of complex biological regulatory networks, a proper integration of molecular data into a full-fledge formal dynamical model is ultimately required. As most available data on regulatory interactions are qualitative, logical modelling offers an interesting framework to delineate the main dynamical properties of the underlying networks.<h4>Results</h4>Transposing a generic model of the core network controlling the mammalian cell cycle into the logical framework, we compare different strategies to explore its dynamical properties. In particular, we assess the respective advantages and limits of synchronous versus asynchronous updating assumptions to delineate the asymptotical behaviour of regulatory networks. Furthermore, we propose several intermediate strategies to optimize the computation of asymptotical properties depending on available knowledge.<h4>Availability</h4>The mammalian cell cycle model is available in a dedicated XML format (GINML) on our website, along with our logical simulation software GINsim (http://gin.univ-mrs.fr/GINsim). Higher resolution state transitions graphs are also found on this web site (Model Repository page)."],"pubmed_title":["Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle."],"pubmed_authors":["Fauré Adrien A, Naldi Aurélien A, Chaouiya Claudine C, Thieffry Denis D"],"description_synonyms":["Applications Software, Incentives, Open Source, Controlling, region., Computer Software, HP-1, Computer, results, Cell, Source Softwares, Division Cycles, Software Tools, Tool, Incentive, Programs, METRS, Program, Computer Applications, Software Tool, HP1, Cycle, Computer Applications Software, Computer Applications Softwares, core, Software Engineering, HNP-1, Softwares, Software, Computer Program, Application, Cell Division Cycles, Cycles, Open Source Softwares, Epistemology, Motivations, Software Applications, Disincentive, reference sample, Division Cycle, availability, cheilitis Granulomatosa, Source Software, Software Application, Mros, Open, MRS, Cell Division Cycle, Engineering, cell-division cycle, Open Source Software, Computer Programs and Programming, SPG70, Cell Division, Melkersson syndrome, Computer Software Application, Computer Programs, Applications, Applications Softwares, Tools, DEFA2, Cell Cycles, site, DEF1, MTRNS, Disincentives, Controlled, single-organism behavior, Computer Software Applications"],"pubmed_title_synonyms":["preventive measures, Cell Division Cycles, Cycles, Controlling, preventive therapy, reference sample, determination, control, Division Cycle, prophylaxis, chemical analysis, Cycle, Cell Division Cycle, cell-division cycle, assay, Cell Division, Cell Cycles., prevention and control, Cell, prevention, Controlled, Division Cycles"],"name_synonyms":["Cell Division Cycles, Cell Division Cycle, Cycles, cell-division cycle, Cell Division, Cell Cycles., Division Cycle, Cell, Cycle, Division Cycles"],"pubmed_abstract_synonyms":["Applications Software, Incentives, Open Source, Controlling, region., Computer Software, HP-1, Computer, results, Cell, Source Softwares, Division Cycles, Software Tools, Tool, Incentive, Programs, METRS, Program, Computer Applications, Software Tool, HP1, Cycle, Computer Applications Software, Computer Applications Softwares, core, Software Engineering, HNP-1, Softwares, Software, Computer Program, Application, Cell Division Cycles, Cycles, Open Source Softwares, Epistemology, Motivations, Software Applications, Disincentive, reference sample, Division Cycle, availability, cheilitis Granulomatosa, Source Software, Software Application, Mros, Open, MRS, Cell Division Cycle, Engineering, cell-division cycle, Open Source Software, Computer Programs and Programming, SPG70, Cell Division, Melkersson syndrome, Computer Software Application, Computer Programs, Applications, Applications Softwares, Tools, DEFA2, Cell Cycles, site, DEF1, MTRNS, Disincentives, Controlled, single-organism behavior, Computer Software Applications"],"additional_accession":[]},"is_claimable":false,"name":"Mammalian Cell Cycle 2006","description":"Motivation: To understand the behaviour of complex biological regulatory networks, a proper integration of molecular data into a full-fledge formal dynamical model is ultimately required. As most available data on regulatory interactions are qualitative, logical modelling offers an interesting framework to delineate the main dynamical properties of the underlying networks. Results: Transposing a generic model of the core network controlling the mammalian cell cycle into the logical framework, we compare different strategies to explore its dynamical properties. In particular, we assess the respective advantages and limits of synchronous versus asynchronous updating assumptions to delineate the asymptotical behaviour of regulatory networks. Furthermore, we propose several intermediate strategies to optimize the computation of asymptotical properties depending on available knowledge. Availability: The mammalian cell cycle model is available in a dedicated XML format (GINML) on our website, along with our logical simulation software GINsim (http://gin.univ-mrs.fr/GINsim). Higher resolution state transitions graphs are also found on this web site (Model Repository page).","dates":{"created":"2014-05-13","publication":"","submission":"2017-07-19","last_modified":"2017-07-19"},"accession":"2396","cross_references":{"pubmed":["16873462"]}}