Zunsheng Han

This study uses AI-driven drug design to discover a new MsbA-targeted antibiotic, Y-11, effective against carbapenem-resistant Acinetobacter baumannii with reduced toxicity and resistance.

This paper develops a machine learning model for plasma protein binding prediction with high accuracy and interpretability, validated on diverse compounds.

The paper discovers a new class of DNA gyrase inhibitors, 1,4-dicarbonylthiosemicarbazides, with potent activity against MRSA through design, synthesis, and biological evaluation.

AutoMolDesigner is an open-source AI tool for automated small-molecule antibiotic design, combining generative deep learning and automated machine learning for efficient antibiotic discovery.