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SBML-SAT:一种基于系统生物学标记语言(SBML)的敏感性分析工具。

SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.

作者信息

Zi Zhike, Zheng Yanan, Rundell Ann E, Klipp Edda

机构信息

Computational Systems Biology, Max Planck Institute for Molecular Genetics, Ihnestr, 73, 14195 Berlin, Germany.

出版信息

BMC Bioinformatics. 2008 Aug 15;9:342. doi: 10.1186/1471-2105-9-342.

Abstract

BACKGROUND

It has long been recognized that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes. Systems biology markup language (SBML) has become a well-known platform for coding and sharing mathematical models of such processes. However, current SBML compatible software tools are limited in their ability to perform global sensitivity analyses of these models.

RESULTS

This work introduces a freely downloadable, software package, SBML-SAT, which implements algorithms for simulation, steady state analysis, robustness analysis and local and global sensitivity analysis for SBML models. This software tool extends current capabilities through its execution of global sensitivity analyses using multi-parametric sensitivity analysis, partial rank correlation coefficient, SOBOL's method, and weighted average of local sensitivity analyses in addition to its ability to handle systems with discontinuous events and intuitive graphical user interface.

CONCLUSION

SBML-SAT provides the community of systems biologists a new tool for the analysis of their SBML models of biochemical and cellular processes.

摘要

背景

长期以来,人们已经认识到敏感性分析在细胞和生化过程的建模与分析中起着关键作用。系统生物学标记语言(SBML)已成为用于编码和共享此类过程数学模型的知名平台。然而,当前与SBML兼容的软件工具在对这些模型进行全局敏感性分析的能力方面存在局限。

结果

这项工作引入了一个可免费下载的软件包SBML-SAT,它实现了用于SBML模型的模拟、稳态分析、鲁棒性分析以及局部和全局敏感性分析的算法。该软件工具通过使用多参数敏感性分析、偏秩相关系数、索博尔方法执行全局敏感性分析,以及局部敏感性分析的加权平均值,扩展了当前的功能,此外还具备处理具有不连续事件的系统以及直观的图形用户界面的能力。

结论

SBML-SAT为系统生物学界提供了一种新工具,用于分析他们关于生化和细胞过程的SBML模型。

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