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  • 标题:OneModel: an open-source SBML modeling tool focused on accessibility, simplicity and modularity
  • 本地全文:下载
  • 作者:F.N. Santos-Navarro ; J.L. Navarro ; Y. Boada
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:7
  • 页码:125-130
  • DOI:10.1016/j.ifacol.2022.07.432
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWith the advent of the Systems Biology Markup Language (SBML), a large community of SBML-compliant tools has been created. However, these tools can only be used to their full potential by expert users with advanced programming knowledge.OneModelis an open-source text-based tool for defining SBML models in a modular and incremental way that minimizes the user's programming knowledge requirements. It is focused on accessibility, simplicity, and modularity.OneModelsyntax allows the user to define models based on chemical (and pseudo-chemical) reactions, differential equations, and algebraic equations.OneModelis written inPython,and it provides two interfaces: a command-line interface for expert-users, and a graphical user interface for non-expert users. Here, we show twoOneModelsyntax use case scenarios for modeling an antithetic controller and then integrating it into a host-aware model, which is freely distributed withOneModel.
  • 关键词:Keywordssystems biologysynthetic biologymathematical modelsSBMLPython
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