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Hi!
Great work !
I want to use QuickBind for virtual screening, but after carefully reviewing the virtual_screening.ipynb, I didn't find any code for protein-ligand preprocessing. Should inference.py be used with the parameter --output_s True, as in the Binding affinity prediction section of the README?
How can I use QuickBind to predict the affinity of specific protein-ligand pairs (such as a protein downloaded from PDB and ligand molecules with only SMILES string) or could you provide the preprocessing code(such as generating embeddings)?
Thank you!
Best wishes!
The text was updated successfully, but these errors were encountered:
Hi!
Great work !
I want to use QuickBind for virtual screening, but after carefully reviewing the virtual_screening.ipynb, I didn't find any code for protein-ligand preprocessing. Should inference.py be used with the parameter --output_s True, as in the Binding affinity prediction section of the README?
How can I use QuickBind to predict the affinity of specific protein-ligand pairs (such as a protein downloaded from PDB and ligand molecules with only SMILES string) or could you provide the preprocessing code(such as generating embeddings)?
Thank you!
Best wishes!
The text was updated successfully, but these errors were encountered: