FileNotFoundError: No such file or directory: '/C.feature.pkl.gz'

[addsg]

When I inference on a fasta file, I met some errors

Traceback (most recent call last):
[312] File "/zhangyudi/Uni-Fold/unifold/homo_search.py", line 313, in
[313] app.run(main)
[314] File "/opt/anaconda3/envs/unifold/lib/python3.10/site-packages/absl/app.py", line 308, in run
[315] _run_main(main, args)
[316] File "/opt/anaconda3/envs/unifold/lib/python3.10/site-packages/absl/app.py", line 254, in _run_main
[317] sys.exit(main(argv))
[318] File "/zhangyudi/Uni-Fold/unifold/homo_search.py", line 291, in main
[319] generate_pkl_features(
[320] File "/zhangyudi/Uni-Fold/unifold/homo_search.py", line 177, in generate_pkl_features
[321] feature_dict = data_pipeline.process(
[322] File "/zhangyudi/Uni-Fold/unifold/msa/pipeline.py", line 187, in process
[323] msa_for_templates = parsers.deduplicate_stockholm_msa(msa_for_templates)
[324] File "/zhangyudi/Uni-Fold/unifold/msa/parsers.py", line 364, in deduplicate_stockholm_msa
[325] query_align = next(iter(sequence_dict.values()))
[326] StopIteration
[327] Starting prediction...
[328] start to load params multimer.unifold.pt
[329] start to predict T1187
[330] Traceback (most recent call last):
[331] File "/zhangyudi/Uni-Fold/unifold/inference.py", line 266, in
[332] main(args)
[333] File "/zhangyudi/Uni-Fold/unifold/inference.py", line 118, in main
[334] batch = load_feature_for_one_target(
[335] File "/zhangyudi/Uni-Fold/unifold/inference.py", line 61, in load_feature_for_one_target
[336] batch, _ = load_and_process(
[337] File "/zhangyudi/Uni-Fold/unifold/dataset.py", line 233, in load_and_process
[338] features, labels = load(**load_kwargs, is_monomer=is_monomer)
[339] File "/zhangyudi/Uni-Fold/unifold/dataset.py", line 129, in load
[340] all_chain_features = [
[341] File "/zhangyudi/Uni-Fold/unifold/dataset.py", line 130, in
[342] load_single_feature(s, monomer_feature_dir, uniprot_msa_dir, is_monomer)
[343] File "/zhangyudi/Uni-Fold/unifold/data/utils.py", line 33, in wrapper
[344] return copy_lib.copy(cached_func(*args, **kwargs))
[345] File "/zhangyudi/Uni-Fold/unifold/dataset.py", line 72, in load_single_feature
[346] monomer_feature = utils.load_pickle(
[347] File "/zhangyudi/Uni-Fold/unifold/data/utils.py", line 33, in wrapper
[348] return copy_lib.copy(cached_func(*args, **kwargs))
[349] File "/zhangyudi/Uni-Fold/unifold/data/utils.py", line 67, in load_pickle
[350] ret = load(path)
[351] File "/zhangyudi/Uni-Fold/unifold/data/utils.py", line 64, in load
[352] with open_fn(path, "rb") as f:
[353] File "/opt/anaconda3/envs/unifold/lib/python3.10/gzip.py", line 58, in open
[354] binary_file = GzipFile(filename, gz_mode, compresslevel)
[355] File "/opt/anaconda3/envs/unifold/lib/python3.10/gzip.py", line 174, in init
[356] fileobj = self.myfileobj = builtins.open(filename, mode or 'rb')
[357] FileNotFoundError: [Errno 2] No such file or directory: '/zhangyudi/Uni-Fold/result_casp/T1187/T1187/C.feature.pkl.gz'

I had inferenced a lot of proteins but I have not met it before. Can you give me some advices ?

[ZiyaoLi]

check what chain C would be in the target. there's no feature file for this chain so it's probably because of inconsistent inputs between msa searching and model inference.