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bug: pdb_2022_09_28_mmcif_files.tar replacement with mmcif_files #88
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Yes, this was done to significantly speed up template search. You will have to untar your PDB database (the download script has been updated to untar it). See https://github.com/google-deepmind/alphafold3/blob/main/fetch_databases.sh#L28 for the exact command to run on the tarfile. |
You can pass the following flag to restore the original behaviour:
This will be considerably slower for each run of alphafold, so I would recommend untaring that file and keep the default. |
Thanks :-) |
It came into my mind: If the structure search takes a significant amount of time then you may want to add an option not to perform it (I do not see this option; you can replace the template list with an empty list before starting inference, but this is post-processing after completed template search). In most of my past cases with AF2 I needed to run the prediction without structural template. I suppose that AF3 works without structural templates as well as with templates (similar to AF2). |
Yes, you are right, I will add an option to disable template search. But I am also fixing the template search performance, so should be less of an issue. |
The template-free option will be extremely useful. Also, having the option to limit the template search by the release date - as implemented in AF2 - would be great. |
May be important: in AF2 the filter-by-date was performed after the template search was completed; I would not perform the search on mmcif entries which can be already excluded based on the date. E.g. if I restricted the templates for later than 2050, the search was performed on all entries and finally none was used, since we were only in 2021. |
Template search should now be much faster (up to ~100x in the mmCIF fetching and parsing stage after Hmmsearch) thanks to d6b06d6. Starting work on the template-free and date filter features. |
Hi,
You introduced this into run_alphafold.py, line 185:
pdb_2022_09_28_mmcif_files.tar # ~200k PDB mmCIF files in this tar.
mmcif_files/ # Directory containing ~200k PDB mmCIF files.
So run fails, since mmcif_files does not exists.
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