Comments (3)
Hello @11140321,
Thanks for your interest in our work.
For ProNet, you can find the example code here. You can use the hyperparameter level
to choose one of the three levels.
Details are in line 205
parser.add_argument('--level', type=str, default='backbone', help='Choose from \'aminoacid\', \'backbone\', and \'allatom\' levels')
The detailed model architecture is in this folder.
Let us know if you have other questions. Thanks.
from dig.
Hello, I would like to ask if I want to use the code for drug target affinity prediction, can I extract the coordinate information based on the target's PDB file and process the above code?
from dig.
Hello @11140321,
Yes, you can.
You have to write your own dataset code to process your PDB files.
To use our model, no matter what's your raw data, eventually, you have to provide
data.x
: one-hot amino acid type embedding,
data.coords_ca
: alpha carbon atom coordinate,
as shown here.
If you want to use backbone
level, you have to further provide data.bb_embs
as shown here.
For allatom
level, you have to further provide data.side_chain_embs
as shown here.
Let us know if you have other questions. Thanks.
from dig.
Related Issues (20)
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from dig.