TIGP (BIO)—Bioinformatics for Glycan Synthesis, Vaccine Design, and Intelligent Drug Discovery

Abstract

This talk explores how bioinformatics and artificial intelligence (AI) are reshaping glycoscience and biomedical innovation. The first part introduces the hierarchical one-pot glycan synthesis platform, where machine learning predicts glycosyl donor reactivity to automate carbohydrate synthesis and enable applications in carbohydrate-based biomedicine. The second part highlights bioinformatics-guided vaccine design, showing how analyzing millions of SARS-CoV-2 spike sequences led to identifying conserved epitopes and creating low-sugar mRNA vaccines with broad protection. Finally, the talk discusses emerging directions in next-generation computational drug discovery. Together, these advances demonstrate how integrating computation with molecular science accelerates the design of intelligent therapeutics.

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