Jiaquan Huang

DeepAden predicts A-domain substrate specificities in NRPSs using a two-stage deep learning framework, achieving competitive performance and enabling the identification of novel NRP gene clusters.

This study identifies holomycin as a key factor in Yersinia ruckeri infection of rainbow trout at low temperatures, showing it remodels host microbiota and enhances biofilm formation.

MAAPE integrates KNN and co-occurrence matrix analysis to extract evolutionary insights from protein embeddings, successfully reconstructing phylogenetic relationships in benchmark datasets.

DNA-SaM improves DNA data storage by achieving high efficiency, scalability, and safety through advanced encoding and architecture.

This study uses machine learning-guided directed evolution to develop a peptide antibiotic from antimicrobial peptides, showing improved antimicrobial activity and therapeutic potential.