VITAL: Quantitative and interface-aware prediction of peptide–protein interactions
Summary
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.
Evidence & checks
- Discovery channel
- Nature Portfolio · Nature Machine Intelligence
- Original material
- www.nature.com
- Material type
- Source page; material type not verified
- Material basis
- Retrieval basis unknown
- Review status
- No human-review record