Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Hinxton, UK.
Mol Syst Biol. 2020 Aug;16(8):e9110. doi: 10.15252/msb.20199110.
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.
系统生物学在计算模型的数量、规模和复杂性方面经历了显著的增长。为了重现模拟结果和重用模型,研究人员必须交换明确的模型描述。我们回顾了系统生物学标记语言(SBML)的最新版本,这是为此目的设计的一种格式。建模者和软件作者社区在过去十年中开发了 SBML Level 3。它的模块化形式由一个核心组成,适合表示基于反应的模型,以及用适合其他模型类型的特性扩展核心的包,包括基于约束的模型、反应扩散模型、逻辑网络模型和基于规则的模型。该格式利用了二十年的 SBML 和一个丰富的软件生态系统,改变了系统生物学家构建和与模型交互的方式。最近,整个细胞和器官的多尺度模型以及单细胞测量和实时成像等新数据源的出现,促使人们以新的方式将数据与模型集成。我们提供了对这些发展带来的挑战的看法,以及 SBML Level 3 如何为支持这种演变提供所需的基础。