Yan Xiang Wu

ConformAb designs antibody sequences that maintain CDR canonical conformations, improving binding affinity without target-specific data.

This study evaluates the NeoLNP RNA Transfection Kit, identifying optimal parameters for transfection efficiency and providing practical guidelines for RNA delivery.

This paper introduces a machine learning framework for therapeutic antibody design that integrates computational methods with experimental validation, resulting in significantly improved binding affinity for multiple targets.