AI-Powered Biomolecular Interaction Prediction
On this cover, AI is depicted as a fisherman selecting target ‘fish’ from a pool of candidates, symbolizing its ability to pinpoint high-affinity biomolecular interactions. In article number 2509501, Haoping Wang, Xiangjie Meng, and Yang Zhang systematically review AI applications in biomolecular interaction prediction. Deep learning models leveraging diverse sequence and structural features show outstanding predictive capabilities. The article discusses key methodologies, evaluation strategies, current challenges, and future directions, providing a clear, accessible reference for researchers entering this rapidly evolving field.
Advanced Science, Volume 12, Issue 38, October 13, 2025. Read More
