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Thanks a lot for releasing the code. I have a question about it.
The paper mentions: "Using only one diffusion sample per model seed for the AF3 predictions rather than five (not illustrated) does not change the results significantly". Perhaps I missed how the decision to set 5 diffusion samples per seed was made but if it's true, I don't quite understand it.
Would it be possible to allow users to set it to 1? After modeling a very large protein (5900 residues, monomer), it substantially increases the computing time for similar output, so such a parameter may be useful in certain cases (especially for antibodies where more seeds improve the scores).
The text was updated successfully, but these errors were encountered:
It is now possible to set the number of diffusion samples using the --num_diffusion_samples flag added in 1490230
I don't expect the performance impact to be very significant though on the model side (but the post-processing might be slow) -- would be curious to hear what the impact is.
Thanks a lot for releasing the code. I have a question about it.
The paper mentions: "Using only one diffusion sample per model seed for the AF3 predictions rather than five (not illustrated) does not change the results significantly". Perhaps I missed how the decision to set 5 diffusion samples per seed was made but if it's true, I don't quite understand it.
Would it be possible to allow users to set it to 1? After modeling a very large protein (5900 residues, monomer), it substantially increases the computing time for similar output, so such a parameter may be useful in certain cases (especially for antibodies where more seeds improve the scores).
The text was updated successfully, but these errors were encountered: