Quantitative and interface-aware prediction of peptide–protein interactions by VITAL

Nature Machine Intelligence, Published online: 19 August 2026; doi:10.1038/s42256-026-01291-z Chen, Wang, Li et al. introduce VITAL, a dual-channel deep learning framework that co-learns sequence and structural contexts to quantitatively predict peptide–protein interactions, map binding interfaces and estimate affinity.