Comments (5)
Hi Dear, how did you run the application? Can you please give advice to us?
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Hi, what the input size you fed into the model?
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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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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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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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Related Issues (20)
- How to train my own models HOT 5
- Running CAMP on own data HOT 7
- Could you check PLIPv2.2.2 output vs v1.4.2? current codes only for PLIPv1.4.2? HOT 1
- About blast database HOT 1
- Questions about creating "query_peptide.fasta" and "target_peptide.fasta" HOT 3
- step2_pepBDB_pep_bindingsites.py 'df_part_all' is not defined HOT 1
- dataset HOT 2
- error in preprocessing features HOT 3
- peptide_dense_feature_dict generated by step3 has only two features per AA whereas given example data has three features per AA
- interpretion of results HOT 1
- We couldn't run program HOT 3
- Failed to predict protein-peptide interactions in PPD-bench HOT 3
- Unknown loss function: conditional_BCE; predict_CAMP.py HOT 1
- Request for Guidance in Step 1 to Step 3 of step2_pepBDB_pep_bindingsites.py
- can not load 'CAMP_BS.h5' successfully HOT 4
- problem unpickling CAMP_pytorch files HOT 3
- analyzed file generated by PLIP HOT 1
- Step 4 of step1_pdb_process.py
- "query_peptide.fasta" and "target_peptide.fasta" HOT 2
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