Hello,
Thank you for sharing this excellent tool! I’m trying to use ANTIPASTI to predict affinity for antigen-antibody complex structures predicted by AlphaFold2 (AF2).
While following the [Tutorial] Predicting affinity using ANTIPASTI.ipynb, I noticed that when setting alphafold=True in the Preprocessing:
preprocessed_data = Preprocessing(..., alphafold=True)
the generated list_of_residuesfiles appear incorrect. For example, inspecting the provided notebooks/test_data/list_of_residues folder shows seemingly erroneous files like 1_af.npy.
print(np.load('../notebooks/test_data/list_of_residues/1_af.npy', allow_pickle=True))
['START-Ab']
Could you please clarify:
- Whether this is a known issue when processing AF2 predictions?
- If modifications are needed in the Preprocessingclass code to ensure correct output when alphafold=True?
For context, my input PDBs are AF2-predicted complexes . Any guidance on proper preprocessing for such cases would be greatly appreciated!
Best regards!
Hello,
Thank you for sharing this excellent tool! I’m trying to use ANTIPASTI to predict affinity for antigen-antibody complex structures predicted by AlphaFold2 (AF2).
While following the [Tutorial] Predicting affinity using ANTIPASTI.ipynb, I noticed that when setting alphafold=True in the Preprocessing:
the generated list_of_residuesfiles appear incorrect. For example, inspecting the provided notebooks/test_data/list_of_residues folder shows seemingly erroneous files like 1_af.npy.
Could you please clarify:
For context, my input PDBs are AF2-predicted complexes . Any guidance on proper preprocessing for such cases would be greatly appreciated!
Best regards!