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.