Bozhen Hu

DeepD is a genome foundation model that enables accurate sequence-to-function prediction and controllable genome-scale sequence generation across domains of life.

Seq2Topt predicts enzyme optimal temperature using protein sequences with deep learning, achieving high accuracy and identifying key residues for temperature adaptation.

This paper introduces CoupleNet, a model that integrates protein sequence and structure to improve representation learning, achieving better performance in fold classification and function prediction.