To improve the clashscore you could try increasing the value of the 
nonbonded_weight parameter, starting at 1000 (which I understand at one time 
was the default in phenix.refine, but recently for me already gives a huge 
decrease in clashscore). Since this will be avoiding clashes at the expense of 
(a) not fitting the map as well, and (b) potentially not fitting standard 
geometry as well, you need to watch that it doesn't increase real-space R or 
RMSD bonds/angles significantly. (My experience is with reciprocal space 
phenix.refine, but I expect there is a similar parameter in real-space_refine)
First look for errors in the model that may cause classhes- more the .geo file and search 
to "Nonbonded". The interactions are listed under this, starting with the worst 
offenders. Examine those residues and see if thay are right. But if you say you have 
fixed these and the refinement reverts to bad values because map quality is poor, I think 
nonbonded_weight is the key.
eab


Srivastava, Dhiraj wrote on 7/25/2024 10:08 AM:
Hi
        We solved several structures of a protein (in different ligand bound 
form) using cryoEM. While I was able to get reasonable fewer clash score and 
rotamer outlier in my best data set, in other data set with poor map quality, I 
am getting  lots of clashes and rotamers outlier. I am fixing these issues and 
after refining the structure using phenix real space refinement (global 
minimization, local grid search and adp), it's getting back to same old 
structure with clashes. The reason is poor quality map. does anyone know a way 
to fix this issue?

Thank you
Dhiraj

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