Hybrid Models and Biological Model Reduction with PyDSTool

被引:56
作者
Clewley, Robert [1 ]
机构
[1] Georgia State Univ, Neurosci Inst, Atlanta, GA 30303 USA
基金
美国国家科学基金会;
关键词
SYSTEMS BIOLOGY; SPIKING;
D O I
10.1371/journal.pcbi.1002628
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
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.
引用
收藏
页数:8
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