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 builds for Python-3.6 is avalible
    PyRosetta binaries build with Python-3.6 support is now available for ScientificLinux, Ubuntu and Mac platforms in all varieties: debug, release and min-size-release. New packages available as tar archives as well as Git repositories checkouts. Download it here: http://www.pyrosetta.org/dow 
    Posted Sep 19, 2017, 3:14 PM by Sergey Lyskov
  • New Edition of PyRosetta Workshops Available for PyRosetta4!
    The 3rd edition of The PyRosetta Interactive Platform for Protein Structure Prediction and Design is available for purchase through Amazon. [Purchase]
    Posted Mar 27, 2017, 10:11 AM by Rebecca Alford
  • Mac Python-3 binaries is now avalible
    PyRosetta-4 binaries for Mac Python-3 platform is now available! Please see visit our [Downloads] page for full range of available builds.
    Posted Dec 12, 2016, 3:55 PM by Sergey Lyskov
  • 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
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