You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Can you provide a suggestion on which volume to use for ModelAngelo? My results vary when using maps from a refinement job (I’m using CS), a post phenix Resolve CryoEM job, and a post DeepEMhancer job. In general, I see the best results with a map from a refinement job. Do you see the same? If so, is this due to the datasets you train your neural network on?
Thanks,
Matt
The text was updated successfully, but these errors were encountered:
We observe the best results after automated global sharpening with Relion. I would imagine the same to be true for CS. Generally, over-sharpening seems to hurt us more than under-sharpening. DeepEMhancer, in my hands, seems to make things more difficult for ModelAngelo.
This is all related to how we trained ModelAngelo, which is with postprocessed maps in the EMDB.
Hi Kiarash,
Can you provide a suggestion on which volume to use for ModelAngelo? My results vary when using maps from a refinement job (I’m using CS), a post phenix Resolve CryoEM job, and a post DeepEMhancer job. In general, I see the best results with a map from a refinement job. Do you see the same? If so, is this due to the datasets you train your neural network on?
Thanks,
Matt
The text was updated successfully, but these errors were encountered: