Send to

Choose Destination
Bioinformatics. 2010 Mar 1;26(5):689-91. doi: 10.1093/bioinformatics/btq007. Epub 2010 Jan 7.

PyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta.

Author information

Program in Molecular Biophysics, Sidney Kimmel Comprehensive Cancer Center and Institute of Computational Medicine, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA.



PyRosetta is a stand-alone Python-based implementation of the Rosetta molecular modeling package that allows users to write custom structure prediction and design algorithms using the major Rosetta sampling and scoring functions. PyRosetta contains Python bindings to libraries that define Rosetta functions including those for accessing and manipulating protein structure, calculating energies and running Monte Carlo-based simulations. PyRosetta can be used in two ways: (i) interactively, using iPython and (ii) script-based, using Python scripting. Interactive mode contains a number of help features and is ideal for beginners while script-mode is best suited for algorithm development. PyRosetta has similar computational performance to Rosetta, can be easily scaled up for cluster applications and has been implemented for algorithms demonstrating protein docking, protein folding, loop modeling and design.


PyRosetta is a stand-alone package available at under the Rosetta license which is free for academic and non-profit users. A tutorial, user's manual and sample scripts demonstrating usage are also available on the web site.

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center