hybrid models and biological model reduction with pydstool混合模型和生物模型与pydstool减少.pdfVIP

Hybrid Models and Biological Model Reduction with PyDSTool Robert Clewley* Neuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America Abstract 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 /projects/pydstool/. The hosting service provides links to documentation and online forums for user support. Citation: Clewley R (2012) Hybrid Models and Biological Model Reduction with PyDSTool. PLoS Comput Biol 8(8): e1002628. doi:10.1371/journal.pcbi.1002628 Editor: Andreas Prlic, University of California, San Diego, United States of America Received December 22, 2011; Accepted June 8, 2012; Published August 9, 2012 Copyright: 2012 Robert Clewley. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author an