An implementation for prediction and analysis of Anti-CoV functional peptide.
analysis.ipynb: contains basic feature description of AAC, PHYCs, as well as classification between Anti-CoV and the other from three different setsclassify.py: Make classification for different functional peptides set.ArgsClassify.py: Parameters of how to perform classification.
We have already integrate the environment in env.py. execute conda create -f env.yml to install packages required in a new created AMPrediction conda env.
Enter the enviornment with conda activate PreAntiCoV.
- To extract features for given .fasta files, execute
python feature_extract.py. - To establish predictors, execute
classify.py. You can adjust any parameters atArgsClassify.py.