Protein names: ['A0A5J4FAY1_MICAE']
Number of proteins: 1
k20_h512 Number of trainable parameter: 148.10M
Traceback (most recent call last):
File "/home/structure/ProtSSN-master/zeroshot_predict.py", line 183, in
predict(args=args, plm_model=plm_model, gnn_model=gnn_model, loader=mutant_loader)
File "/home/structure/ProtSSN-master/zeroshot_predict.py", line 81, in predict
mutant_df[args.score_name] = mutant_df[args.mutant_pos_col].apply(
File "/home/miniconda/envs/gpu9/lib/python3.9/site-packages/pandas/core/series.py", line 4757, in apply
return SeriesApply(
File "/home/miniconda/envs/gpu9/lib/python3.9/site-packages/pandas/core/apply.py", line 1209, in apply
return self.apply_standard()
File "/home/miniconda/envs/gpu9/lib/python3.9/site-packages/pandas/core/apply.py", line 1289, in apply_standard
mapped = obj._map_values(
File "/home/miniconda/envs/gpu9/lib/python3.9/site-packages/pandas/core/base.py", line 921, in _map_values
return algorithms.map_array(arr, mapper, na_action=na_action, convert=convert)
File "/home/miniconda/envs/gpu9/lib/python3.9/site-packages/pandas/core/algorithms.py", line 1814, in map_array
return lib.map_infer(values, mapper, convert=convert)
File "lib.pyx", line 2926, in pandas._libs.lib.map_infer
File "/home/structure/ProtSSN-master/zeroshot_predict.py", line 82, in
lambda x: label_row(x, seq, out.cpu().numpy(), offset)
File "/home/structure/ProtSSN-master/zeroshot_predict.py", line 45, in label_row
assert sequence[idx] == wt, f"The {row}, {sequence[idx]}"
AssertionError: The A5V, V
python zeroshot_predict.py --gnn_model_name k20_h512 --mutant_dataset_dir data/mutant_example/no_exp --result_dir result/no_exp
--------------- ProtSSN k20_h512 --------------- Processing... Processing A0A5J4FAY1_MICAE: 100%|████████████████████████████████████████████████████████| 1/1 [00:02<00:00, 2.10s/it] Total proteins: ['A0A5J4FAY1_MICAE'] Wrong proteins: [] Processing A0A5J4FAY1_MICAE.pt: 100%|█████████████████████████████████████████████████████| 1/1 [00:00<00:00, 61.59it/s] Done!