Dear  all,

I download CASTpyMOL.pyc and put it in the right folder.
Now I want to use it for detecting cavity for 50 proteins. I don't want to do that one after one by hand.
Is it possible to write a python (pymol) script to do that automatically?

Thanks a lot!

Regards
Bingding





Sebastien Moretti wrote:

Dear Bingding,
CASTp cavities are pre-computed for most of PDB entries.

So, you could create a PyMOL script (.pml) which could look like that:
   "call the CASTp plugin for xxxx" ?
   save xxxx.pdb
   reinitialize
   "call the CASTp plugin for yyyy" ?
   ...

With this kind of script you could be able to get the cavities for your 50 proteins with only one PyMOL execution. Nevertheless, I don't know how to call the CASTp plugin from a PyMOL script. And how to save all cavities as distinct pdb files.
But I know that that is possible.

Only the PyMOL mailing list or Wiki are able to help you now.



Hi Marcus,
You can install the CASTp plugin for PyMOL :
http://cast.engr.uic.edu/cast/?mode=CASTpyMOL

CASTp (http://cast.engr.uic.edu/cast/) is "Computed Atlas of Surface Topography of proteins" and analyzes the "Anatomy of Protein Pockets and Cavities". So, with the plugin, you can get every cavities (pockets), CASTp has predicted, automatically.

I hope this will help you.

Hello all,

The surface rendering in PyMOL is quite nice, but I cannot separate the "branches" of the surface. That is, I would like to view a large cavity inside of a protein independently from the outer, solvent accessible surface. Is anyone aware of a means to do this?

Marcus Collins

*****************************************************************************
                              Marcus D. Collins
Gruner Biophysics Group, Cornell University Dept. of Physics, LASSP
             (h) 607.347.4720 (w) 607.255.8678 (c) 607.351.8650
       "You have opened a new door, and I share this with you,
            for I have been where you are now."
*****************************************************************************





--
Bingding Huang
PhD student
Bioinformatics group
Biotec & Department of Computing
Tazberg 47, 01307
TU Dresden, Germany

Tel:    0049 351 46340064 (Office)
Tel:    0049 351 4403368  (Home)
Fax:    0049 351 46340061
Web:    http://www.biotec.tu-dresden.de/~bhuang
E-mail: bhu...@biotec.tu-dresden.de


Reply via email to