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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 Version 5 of relax. The latest relax release now supports the new versions of wxPython (Phoenix), giving relax a more modern GUI. 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% Data background This is data recorded at 600 and 950 MHz. This should follow relax-4.0.1.Darwin.dmg installation on a Mac, only with GUI. For each spectrometer frequency, the data is saved in np.arrays one for the residue number, one for the rates, one for the errorbars, one for the RF field strength. They can be retrieved also with scipy's loadmat command. The experiments are on-resonance R1ρ, and the rates are already corrected for the (small) offset effect, using the experimentally determined R1. Specifically, the numpy shapes of the data is: For 600 MHz residues (1, 60) rates (60, 10) errorbars_rate (60, 10) RFfields (1, 10) For 950 Mhz residues (1, 61) rates (61, 19) errorbars_rate (61, 19) RFfields (1, 19) For the 950 MHz, the ..→

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