A Transformer-Based Model for Non-Histone Acetylation Site Prediction
Briefings in Bioinformatics, Volume 25, Issue 3, May 2024, bbae219, https://doi.org/10.1093/bib/bbae219
python 3.8.0
pytorch 1.12.0
pytorch geometric 2.2.0
Cuda 11.6
Run ./data_preprocess/generate_data.py to generate graph data.
Run ./model/main.py to train the TransPTM.
NHAC.csv (Non-Histone Acetylation Collection)
unique_id format: Uniprot ID; acetylation position; protein sequence full length; label