Huilin Xie

Multimodal deep learning with a joint uncertainty quantification scheme for drug-target interaction prediction.

EQTri-DTI is designed to integrate three modality-specific networks to encode 1D protein sequences, 2D molecular images, and 3D drug structures and develops a joint uncertainty quantification scheme by calculating the weight summation of evidential uncertainty and prediction entropy from the aforementioned output, enabling a more comprehensive and nuanced assessment of uncertainties.