We propose a novel deep learning framework "DeepNeuropePred", using a combination of pre-trained language model and Convolutional Neural Networks for feature extraction and predicting the neuropeptide cleavage sites.
To install requirements:
pip install -r requirements.txt
🏷 Here, SignalP5 should be installed into your system environment
To evaluate the model on the 31 test proteins, run:
python test.py --model-file ./pretrain_model/DeepNeuropePred.pth --input-fasta ./data/test.txt --ouput-json ./data/predict.json
Our model achieves the following performance on :
The methodological explanation of DeepNeuropePred
If you have any questions, comments, or would like to report a bug, please file a Github issue or contact me at wanglei94@hust.edu.cn.