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We proposed ACP-PDAFF, based on pretrained model ProtBert and dual-channel attentional feature fusion for anticancer peptide prediction.

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ACP-PDAFF:Pretrained model and dual-channel attentional feature fusion for anticancer peptide prediction

How to use it

Pretrain code

You should download prot_bert_bfd (https://huggingface.co/Rostlab/prot_bert_bfd) into prot_bert_bfd folder before you use, then run code in pretrain.py and save the pretrain embedding.

Train-test code

The main program in the train folder ACP_PDAFF_main.py file. You could change the load_config function to achieve custom training and testing, such as modifying datasets, setting hyperparameters and so on. File ACP_PDAFF_main.py has detail notes.

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We proposed ACP-PDAFF, based on pretrained model ProtBert and dual-channel attentional feature fusion for anticancer peptide prediction.

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