Dear all

I have a question about the 3D classification of a membrane protein using
Relion 3.1, where I aim to remove some junk particles. The protein is
relatively small (180 kDa), and its structure has already been resolved by
cryoEM. It has minimal features outside the micelle ring and is primarily
composed of an alpha-helical bundle. Instead of generating a 3D initial
model, I’m considering using the solved structure to create a reference map
for the subsequent 3D classification and refinement steps. Therefore would
it be more appropriate to use its PDB model (molmap) or the deposited EM
map to create the reference map? The EM map includes the micelle ring,
which the reference map from the model obviously will not have. Could this
difference affect the classification or refinement steps, particularly when
the protein is small and the map is low-pass filtered to 60 Å (default)?
Also can I modify the resolution limit of the low-pass filter to improve
classification?

Additionally, the molecule has C2 symmetry. Would it be better to use a C2
symmetric map for classification, or should I opt for a C1 asymmetric map?

In 2D classification, I set 'Ignore CTF until first peak' to 'Yes' and
limited the E-step resolution to 10 Å. Should I apply the same settings for
3D classification, especially regarding the 'Ignore CTF until first peak'
option, or would it be better to set this to 'No'?

Lastly, when I set 'Ignore CTF until first peak' to 'Yes' during 2D
classification, it resulted in better class distribution compared to 'No,'
where all particles plus junk tended to cluster in one class. What could
explain this behavior? Is it something specific to small membrane proteins
with fewer features?

Your advice would be greatly appreciated.

Best

Firdous

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