|This code has been put under version control in the project Pymol-script-repo|
mtsslWizard is a PyMOL wizard for in silico spin labeling of proteins.
- uploaded a new version (1.3) to repository. Includes some new spin labels and a distance map feature.
- uploaded a new version (1.12) to repository. Fixes a bug that occurred on some machines. Thanks to C. Engelhard for noticing!
- added two new labels: DOTA and K1 (pAcPhe based)
Version 1.1 in script repository.
Some new features of v1.1:
- Much faster. The algorithm was optimized and the speed of the program is now almost independent off the size of the molecule. Due to this, 'thorough search' is now set as default and the 'copy and move' mode has been dropped.
- New spin labels. The program now contains MTSSL, PROXYL and two labels for nucleic acids. Additional spin labels can be added upon request.
- Distances and histogram are directly copied to the clipboard or written out to a file as before. The result file contains 4 columns: 1-distances, 2-bins for histogram, 3-histogram frequencies, 4-histogram frequencies with highest value normalized to 1.0 for comparisons
- Improved interface. Amongst other things, the clash control settings were simplified: There are now only two settings for vdW restraints: 'tight' and 'loose'. Also, only the average and c-Beta distances are displayed in the PyMOL viewer to avoid screen clutter (see screenshot).
The new version was thoroughly tested. If you encounter any bugs or problems, please use the contact address below.
Version 1.0 is still available here.
Spin labels can be attached to any position of a protein or nucleic acid just by pointing and clicking. The program then searches the conformational space of the label and determines which conformations of the label do not clash with the macromolecule. In "distance mode", distances between label ensembles can be determined and exported. In "distance map" mode, the program quickly estimates the inter-label distances between all possible spin pairs in a protein molecule. The result is saved as a color coded distance map. It is also possible to calculate difference distance maps between two conformations of a protein.
Install the program by copying the code from the link above into an empty text file (e.g. "mtsslWizard.py") located in the \Pymol\modules\pmg_tk\startup directory. After PyMOL has been started, the program can be launched from the WIZARDS menu. Alternatively install the wizard via the plugins menu.
- SciPy has to be installed
- Pyperclip or xerox have to be installed for the clipboard support.
How people got it to run...
- On a Mac it is easiest to install Pymol, Numpy, WxPython, Scipy and Matplotlib via fink.
"I installed Pymol 1.5 via MacPorts. After putting pyperclip in the python 2.6 library folder, I then downloaded mtsslWizard and used the plugin installer to incorporate it. This was very simple and trouble-free."
- Open a structure in PyMOL and remove any unwanted solvent molecules or ligands.
- Start the mtsslWizard via Wizards>mtsslWizard
- If needed, vary the search parameters: "Speed" and "vdW restraints". 'Speed' determines how many conformations of the label will be generated and checked for clashes. The 'vdW restraints' parameter determines how stringent conformations are checked for clashes with the macromolecular surface.
- Click "Search conformers!" to start the calculation.
- change "Mode" to "Distance"
- click the first and second ensemble
- The program will now calculate all possible distances between the conformations in the two ensembles. If both ensembles have many conformations, this can take a couple of seconds!
Distances and a histogram are directly copied to the clipboard or written out to a file. The result file contains 4 columns:
- bins for histogram
- histogram frequencies
- histogram frequencies with highest value normalized to 1.0 for comparisons
If you find this program useful, please cite this paper:
Hagelueken G, Ward R, Naismith JH, Schiemann O (2012) MtsslWizard: In silico Spin-Labeling and Generation of Distance Distributions in PyMOL. Appl. Magn. Res. accepted for publication
It also contains detailed informations about the program, examples and a discussion of limitations of the approach.
Thanks to Jason Vertrees and Thomas Holder for some programming tips.