AI Article Synopsis

  • Biologists acknowledge the importance of computational modeling to interpret complex experimental data effectively.
  • The Systems Biology Markup Language (SBML) has been developed over the last four years as a standard format for sharing and evaluating biochemical models.
  • This article discusses current and upcoming versions of SBML, its supporting software infrastructure, and the variety of compatible tools available.

Article Abstract

Biologists are increasingly recognising that computational modelling is crucial for making sense of the vast quantities of complex experimental data that are now being collected. The systems biology field needs agreed-upon information standards if models are to be shared, evaluated and developed cooperatively. Over the last four years, our team has been developing the Systems Biology Markup Language (SBML) in collaboration with an international community of modellers and software developers. SBML has become a de facto standard format for representing formal, quantitative and qualitative models at the level of biochemical reactions and regulatory networks. In this article, we summarise the current and upcoming versions of SBML and our efforts at developing software infrastructure for supporting and broadening its use. We also provide a brief overview of the many SBML-compatible software tools available today.

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Source
http://dx.doi.org/10.1049/sb:20045008DOI Listing

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