predict_pal

We employed our deep learning framework iPalmT to systematically analyze large-scale protein sequences across multiple species. A set of putative palmitoyl-transferases was identified through rigorous model screening and cross-validation, ensuring high reliability of the predictions. Here, we release the complete dataset of iPalmT-predicted positive samples, which includes protein IDs and their prediction outcomes across species. This resource provides a valuable reference for future functional validation and downstream investigations, and may facilitate broader research into protein S-palmitoylation and palmitoyl-transferase biology.