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Thank you for your work to help train/fine-tune AF2/OpenFold/pLMFold models.
I tried to run pLMFold's training using my own protein datasets, but couldn't figure out how proteins' tfrecord data can be obtained.
Reading Paper, Supplementary Data and README didn't help me because it has no descriptions in detail about obtaining tfrecord data.
I tried to make use of AF2 modules to get those data.
It seems to work but I found that some features written in the paper are missing in features generated by correspondent AF2 codes(template_all_atom_exists and pdb_cluster_size).
How could I obtain necessary features from my own proteins' data to train/fine-tune the model?
Is there any tool to do so?
Thank you for your work to help train/fine-tune AF2/OpenFold/pLMFold models.
I tried to run pLMFold's training using my own protein datasets, but couldn't figure out how proteins' tfrecord data can be obtained.
Reading Paper, Supplementary Data and README didn't help me because it has no descriptions in detail about obtaining
tfrecord
data.I tried to make use of AF2 modules to get those data.
It seems to work but I found that some features written in the paper are missing in features generated by correspondent AF2 codes(
template_all_atom_exists
andpdb_cluster_size
).How could I obtain necessary features from my own proteins' data to train/fine-tune the model?
Is there any tool to do so?
I need your help.
Ref. #7
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