Nature Communications, Published online: 29 June 2026; doi:10.1038/s41467-026-74487-x Here, the authors examine whether combining multiple molecular data types improves drug discovery models, finding multimodal approaches boost predictions with effective fusion, and even simple late-fusion methods can reach state-of-the-art performance.
Impact of molecular multimodality on neural network models for prediction tasks related to drug discovery
Hoang Thanh Lam

