Python tools for Markov state models
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Enable painless construction and analysis of Markov state models

This project is a collection of Python modules for generating, analyzing, and interpreting Markov state models. Some features: objects to represent and sample from transition matrices, Singhal's sensitivity analysis, clustering on arbitrary data objects.

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Last updated
Dec 18, 2007
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Daniel Ensign

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SimTK is maintained through Grant R01GM124443 01A1 from the National Institutes of Health (NIH). It was initially developed as part of the Simbios project funded by the NIH as part of the NIH Roadmap for Medical Research, Grant U54 GM072970.

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