Phenix: Resources

16 February 2010

Phenix (Python-based Hierarchical ENvironment for Integrated Xtallography) has been developed for the determination of macromolecular crystallographic structures. Phenix is a leader in automating the structure determination process.

I am going to start playing around with Phenix, but first wanted bring together helpful resources about the program suite:

Are you using Phenix?   Why or why not?

What resources have you found especially helpful?  Do you have any tips or tricks for getting started?

     | Posted by Sean | Categories: Uncategorized | Tagged: , , |

    CNS (Crystallography and NMR systems) is able to perform simulated annealing as well as generate a composite omit map, which is nice compliment to the CCP4 suite of programs (Phenix has similar features). In getting started, one must first create a generate file which is what the post will be covering via their website.

    1) In your terminal type: cns_web (note: admin may have set up this command different)
    Web browser should launch and select input files at middle left

    2) Scroll down to generate.inp and click edit
    cns generate CNS: Introduction to Creating a Generate File
    A new window will open
    3) Change ‘convert chainid to segid if chainid is left blank’ to True
    cns protein CNS: Introduction to Creating a Generate File
    Scroll down a ways to ‘general parameters’
    4) Change: set bfactor flag to True AND set occupancy flag to True
    cns generate parameters CNS: Introduction to Creating a Generate File
    Save and Exit

    In your terminal
    type: cns < generate.inp > generate.out &
    Note: if you renamed your generate files then use them as your .inp
    The ‘&’ symbol allows your cursor to be free

    type: tail -f generate.out
    This will allow to see the progress of the processing in your terminal
    Doing this has allowed me to quickly see if my inputs have generate an error

    Note: Depending on your needs using generate_easy.inp may be sufficient
    Additional information can be found in the tutorial section of the CNS website.