Neuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America.
PLoS Comput Biol. 2012;8(8):e1002628. doi: 10.1371/journal.pcbi.1002628. Epub 2012 Aug 9.
The PyDSTool software environment is designed to develop, simulate, and analyze dynamical systems models, particularly for biological applications. Unlike the engineering application focus and graphical specification environments of most general purpose simulation tools, PyDSTool provides a programmatic environment well suited to exploratory data- and hypothesis-driven biological modeling problems. In this work, we show how the environment facilitates the application of hybrid dynamical modeling to the reverse engineering of complex biophysical dynamics; in this case, of an excitable membrane. The example demonstrates how the software provides novel tools that support the inference and validation of mechanistic hypotheses and the inclusion of data constraints in both quantitative and qualitative ways. The biophysical application is broadly relevant to models in the biosciences. The open source and platform-independent PyDSTool package is freely available under the BSD license from http://sourceforge.net/projects/pydstool/. The hosting service provides links to documentation and online forums for user support.
PyDSTool 软件环境旨在开发、模拟和分析动力系统模型,特别是针对生物学应用。与大多数通用仿真工具的工程应用重点和图形化规范环境不同,PyDSTool 提供了一个非常适合于探索性数据驱动和假设驱动的生物学建模问题的编程环境。在这项工作中,我们展示了该环境如何促进混合动力学建模在复杂生物物理动力学的逆向工程中的应用;在这种情况下,是一个可兴奋的膜。该示例演示了软件如何提供新的工具,支持对机械假设的推断和验证,以及以定量和定性的方式纳入数据约束。生物物理应用与生物科学中的模型具有广泛的相关性。开源且与平台无关的 PyDSTool 包可根据 BSD 许可证从 http://sourceforge.net/projects/pydstool/ 免费获得。托管服务提供了指向文档和在线论坛的链接,以提供用户支持。