AHTPeptideFusion：A segmented fusion ACE-I inhibitory peptide predictor based on a protein language model and machine learning.
We provide a virtual environment to run AHTPeptideFusion,
You can use
conda env create -f AHTPeptideFusion.yamlto follow the required dependency packages.
Moreover, We provide prediction code and model for AHTPeptideFusion and an example of using AHTPeptideFusion to predict ACE-I inhibitory peptides in the Jupyter Notebook.
Cite this article: Pan F, Liu D, Tuersuntuoheti T, et al. Mining anti-hypertensive peptides in animal food through deep learning: a case study of gastrointestinal digestive products of royal jelly. Food Science of Animal Products, 2024, 2(1): 9240053. https://doi.org/10.26599/FSAP.2024.9240053