Hi,

The strategy depends also on the resolution of the data, so if you could tell us that, we can give suggestions. Also the type of data, I guess X-ray diffraction?

Out of curiosity, how do model quality metrics look like (clashscore, ramachandran, etc) at this point? If you keep coordinates fixed, they won't improve in refinement. 

Best wishes,

Dorothee

On Fri, Aug 7, 2020 at 2:52 PM Joey Farrell <jpfarrell@uchicago.edu> wrote:

Hello,

 

I am trying to design a set of input parameters that I will be passing through the phenix.refine function. The structures

that I am working with have already had their X,Y, and Z orthogonal Å coordinates optimised via separate protocol.

I am looking for advice on which strategies and parameter values to use with phenix.refine to improve the crystallographic R-factors

of such structures while preserving their earlier optimisation in real space.

 

I have been having some success using “strategy =  tls+individual_adp+occupancies” (where tls = “chain A”, tls = “chain B”, etc.) as

well as adjusting the wxu_scale value until R-work and R-free are minimised. Are there other strategies or phenix.refine functionalities

that may also prove helpful with this end in mind? I believe there may be ways to further improve R-work and R-free with this software

that I am not yet aware of.

 

Thank you for your help!

 

Best,

Joey

_______________________________________________
phenixbb mailing list
phenixbb@phenix-online.org
http://phenix-online.org/mailman/listinfo/phenixbb
Unsubscribe: phenixbb-leave@phenix-online.org


--
Project Scientist, Molecular Biophysics and Integrated Bioimaging
Lawrence Berkeley National Laboratory
1 Cyclotron Road, M/S 33R0345
Berkeley, CA 94720
Tel: (510) 486-5709
Fax: (510) 486-5909
Web: https://phenix-online.org