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The community-run support site for relax, a program for the study of molecular dynamics using experimental NMR data.

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News & Updates Migration to SourceForge After the Gna! shutdown at the start of 2017, relax has finally in 2019 been fully migrated to the SourceForge infrastructure. Gna! is permanently shut down! A migration to another open source infrastructure is planned. This will include web hosting for http://www.nmr-relax.com, source code repositories, bug and other trackers, new reports, download pages, and possible a svn to git conversion. Tutorial added Tutorial for sorting data stored as numpy to on-resonance R1rho analysis Version 4 of relax With the latest relax release merging in years of developments in the frame order analysis, the major number has been incremented to relax 4. Tutorial added Tutorial for manual regarding the relaxation dispersion auto-analysis in the GUI Tutorial added Tutorial for R1/R2 Relaxation curve-fitting analysis on varian recorded as fid interleaved Matplotlib example added Matplotlib example Tutorial added Relaxation dispersion analysis R1_rho recorded on varian Tutorial added Relaxation dispersion analysis cpmg fixed time recorded on varian as fid interleaved Tutorial added Adding relaxation dispersion models to relax wiki namespace changed The wiki is now placed at: http://wiki.nmr-relax.com as of 19 of July 2013 GPL License The License has been changed to GPL v3. New Wiki This is the new wiki

Did you know... %PAGE% Relax-fit script mode - error analysis for parameters See manual Only one technique adequately estimates parameter errors when the parameter values where found by optimisation - Monte Carlo simulations. In relax this can be implemented by using a series of functions from the monte_carlo user function class. Firstly the number of simulations needs to be set monte_carlo.setup(number=500) For each simulation, randomised relaxation curves will be fit using exactly the same methodology as the original exponential curves. These randomised curves are created by back calculation from the fitted model parameter values and then each point on the curve randomised using the error values set earlier in the script monte_carlo.create_data() As ..→

Random screenshots relax starting interface The analysis selection wizard Steady-state NOE analysis R1 analysis R2 analysis Model-free analysis The relax controller Spin viewer window Results viewer window Pipe editor window relax prompt window About GUI screen About relax screen