Welcome to PyRosetta!

PyRosetta is an interactive Python-based interface to the powerful Rosetta molecular modeling suite. It enables users to design their own custom molecular modeling algorithms using Rosetta sampling methods and energy functions.

PyRosetta was created at Johns Hopkins University by Jeffrey J. Gray, Sergey Lyskov, and the PyRosetta Team. Its development is supported by:


 NSF Grant 0846324.

NIH grant R01-GM73151.




Recent news

  • PyRosetta-4 released!
    PyRosetta-4 is now available for download! PyRosetta-4 is the next major release of PyRosetta. Major changes include: 
    - new build system based on Clang LibTooling and Pybind11
    - both Python-2 and Python-3 support
    - bindings of all default function arguments
    - automatically binding generation for template classes. 

    To download PyRosetta-4 binaries please visit our [Downloads] page.
    Posted Nov 2, 2016, 2:19 PM by Sergey Lyskov
  • Videos from JHU Computational Protein Structure Prediction and Design graduate course

    This series of videos teaches biomolecular structure prediction and design, starting from fundamentals of protein structure and energetics and proceeding through applications in folding, docking, design.  Advanced topics including modeling of membrane proteins and non-protein biomolecules such as carbohydrates.  Videos created from the Fall 2014 course at Johns Hopkins University.



    Posted Apr 1, 2015, 1:48 PM by Jeffrey J. Gray
  • Windows 7 64-bit build is now avaliable
    Windows 7 (64bit) is now ready to download: [link]  
    Posted Apr 29, 2016, 9:59 PM by Jason Labonte
  • Kindle Edition of PyRosetta Workshops Available
    You can purchase this new edition here: [Purchase]
    Posted May 21, 2013, 9:03 AM by Jason Labonte
  • New Edition of PyRosetta Workshops Available
    The 2nd edition of The PyRosetta Interactive Platform for Protein Structure Prediction and Design is available for purchase through Amazon. [Purchase]
    Posted Mar 12, 2013, 12:23 PM by Jason Labonte
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