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Comments (5)

denizozcivi avatar denizozcivi commented on July 19, 2024

Hi Dear, how did you run the application? Can you please give advice to us?

from camp.

twopin avatar twopin commented on July 19, 2024

Hi, what the input size you fed into the model?

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xiaoxiao349 avatar xiaoxiao349 commented on July 19, 2024

Hi Dear, how did you run the application? Can you please give advice to us?

Hi, I started from codes in preprocess_features.py and predict_CAMP.py and used the CAMP.h5 to run the model.

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xiaoxiao349 avatar xiaoxiao349 commented on July 19, 2024

Hi, what the input size you fed into the model?

Hi twopin thanks for replying, I input 6 protein and peptide sequence and got the 8 files after preprocessing (protein_feature_dict, peptide_feature_dict, ...). Using the function load_example I got [X_pep, X_p, X_SS_pep, X_SS_p, X_2_pep, X_2_p, X_dense_pep, X_dense_p, pep_sequence, prot_sequence, X_pep_mask, X_bs_flag]. I'm not sure what is the input size though.

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twopin avatar twopin commented on July 19, 2024

Hi, I hope the discussion yesterday can solve your concerns. There are several key points may cause the difference: 1. the SS feature you generated are derived from different version of SCRATCH, after comparing we noticed that there are many differences; 2. Although we used the same PDDbench list, we used different sampling methods to generate negatives. 3. CAMP adopts UniProt sequences instead of PDB fasta sequences. 4. The Intrinsic Disorder values are different. To solve these problems, I already send you my PDDbench data (including negatives), my inference results and evaluation scripts. Hope these stuff can help you.

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