Dear all,

During the last CCP4 meeting, Oleg presented our collaboration with the Phenix 
team, about the Ramachandran plot Z-score (or Rama-Z). Since then, some asked 
for a convenient way to get this score. You are now welcome to use: 
https://pdb-redo.eu/tortoize

This is a quick and easy way to check you model. Just upload your structure 
model (and restraints if you have non-standard compounds) and press 
"calculate". You get the Ramachandran Z-score with an error margin and you get 
the side-chain equivalent (also known as the Chi-1/Chi-2 Z-score in WHAT_CHECK) 
for free. 

There are two more ways to get the score, that might be relevant for 
specialized use:
1) use the webservice to get the same values and the per-residue values in an 
easy-to-parse JSON file. For example through curl with the command: curl -F 
data=@1cbs_final.pdb -F dict=@/zata/ccp4-7.1/lib/data/monomers/a/ALA.cif  
https://pdb-redo.eu/tortoize. Note that the "dict" value is optional. Any other 
POST on https://pdb-redo.eu/tortoize would also work.

2) to analyse a very large group of models you are encouraged to install 
tortoize locally. It's available on https://github.com/PDB-REDO/tortoize with a 
BSD license. 

The scores are also of course available after each PDB-REDO run: the Rama-Z is 
one of the model quality metrics. All  methods take PDB and mmCIF formatted 
files as longs as they are valid, i.e. fit the current format specification 
(mmCIF) or contain at least a CRYST1 record (PDB). As always, constructive 
feedback is appreciated. 

If you use Rama-Z, please do cite: 
Sobolev et al. A Global Ramachandran Score Identifies Protein Structures with 
Unlikely Stereochemistry; Structure;  https://doi.org/10.1016/j.str.2020.08.005

All the best on behalf of Team REDO, 
Robbie

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