Dillon W. P. Tay

This paper introduces a multimodal framework that links biosynthetic gene clusters and natural products by integrating genomic and chemical data through shared embeddings, enabling bidirectional retrieval and strain selection.

The paper integrates mass spectrometry and genomics data with language models to accelerate natural product discovery in microbial strains.

This paper presents a cost-effective hybrid sequencing approach for assembling GC-rich Streptomyces genomes, enabling accurate biosynthetic gene cluster identification and revealing a new species.