Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, 72076 Tübingen, Germany.
Bioinformatics. 2012 Oct 15;28(20):2648-53. doi: 10.1093/bioinformatics/bts508. Epub 2012 Aug 24.
The biological pathway exchange language (BioPAX) and the systems biology markup language (SBML) belong to the most popular modeling and data exchange languages in systems biology. The focus of SBML is quantitative modeling and dynamic simulation of models, whereas the BioPAX specification concentrates mainly on visualization and qualitative analysis of pathway maps. BioPAX describes reactions and relations. In contrast, SBML core exclusively describes quantitative processes such as reactions. With the SBML qualitative models extension (qual), it has recently also become possible to describe relations in SBML. Before the development of SBML qual, relations could not be properly translated into SBML. Until now, there exists no BioPAX to SBML converter that is fully capable of translating both reactions and relations.
The entire nature pathway interaction database has been converted from BioPAX (Level 2 and Level 3) into SBML (Level 3 Version 1) including both reactions and relations by using the new qual extension package. Additionally, we present the new webtool BioPAX2SBML for further BioPAX to SBML conversions. Compared with previous conversion tools, BioPAX2SBML is more comprehensive, more robust and more exact.
BioPAX2SBML is freely available at http://webservices.cs.uni-tuebingen.de/ and the complete collection of the PID models is available at http://www.cogsys.cs.uni-tuebingen.de/downloads/Qualitative-Models/.
生物途径交换语言(BioPAX)和系统生物学标记语言(SBML)属于系统生物学中最流行的建模和数据交换语言。SBML 的重点是模型的定量建模和动态模拟,而 BioPAX 规范主要集中在途径图的可视化和定性分析上。BioPAX 描述反应和关系。相比之下,SBML 核心仅描述定量过程,如反应。通过 SBML 定性模型扩展(qual),现在也可以在 SBML 中描述关系。在 SBML qual 开发之前,关系无法正确转换为 SBML。到目前为止,还没有一个完全能够翻译反应和关系的 BioPAX 到 SBML 转换器。
通过使用新的 qual 扩展包,我们已经将整个自然途径相互作用数据库从 BioPAX(第 2 级和第 3 级)转换为包括反应和关系的 SBML(第 3 级版本 1)。此外,我们还介绍了新的 BioPAX2SBML 网络工具,用于进一步进行 BioPAX 到 SBML 的转换。与以前的转换工具相比,BioPAX2SBML 更全面、更健壮、更准确。
BioPAX2SBML 可在 http://webservices.cs.uni-tuebingen.de/ 免费获得,完整的 PID 模型集合可在 http://www.cogsys.cs.uni-tuebingen.de/downloads/Qualitative-Models/ 获得。