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Revision as of 18:05, 8 March 2013


relax is a program designed for the study of molecular dynamics of organic molecules, proteins, RNA, DNA, sugars, and other biomolecules through the analysis of experimental NMR data.

It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model or ensemble analysis and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion.


The relax documentation page is

The relax user manual can be browsed online at, or viewed in PDF form at

Related Projects


LicenseVerified byVerified onNotes
GPLv3orlaterJgay8 March 2013

Leaders and contributors

Edward d'Auvergne Project Admin

Resources and communication

Audience Resource type URI
User Download
User Mailing List Info/Archive
Developer VCS Repository Webview
Developer Mailing List Info/Archive
User Bug Tracking
Developer Mailing List Info/Archive
User Support
User General
User Mailing List Info/Archive
User Homepage
User Mailing List Info/Archive

Software prerequisites

Kind Description
Required to use numpy
Weak prerequisite wxPython
Weak prerequisite scipy
Weak prerequisite mpi4py
Required to use Python


Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.

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