Comments (5)
twopin
commented on August 18, 2024
1
hi, my model was saved using kears cmd 'model.save('xxx.h5')' so you can load the model using kears and using model.summary to see the architecture. Or you may just use the information from the paper.
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Yiqiu-Zhang
commented on August 18, 2024
Hi Zhy, did you figure out how to train your own model?
I am currently trying to train this with my own data
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twopin
commented on August 18, 2024
The python3 and pytorch script and ckpts are in CAMP_pytorch. Sorry for the delay.
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xiaoxiao349
commented on August 18, 2024
And may I ask where is the Python3+pytorch model file with training/predicting scripts? --thanks
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twopin
commented on August 18, 2024
And may I ask where is the Python3+pytorch model file with training/predicting scripts? --thanks
Sorry for the delay. The script and ckpts are in CAMP_pytorch.
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Related Issues (20)
- 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
- error in CAMP_BS.h5 modelling HOT 5
- 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
- How to generate 'pep_concat_seq' and 'prot_concat_seq' in my own camp input data
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