Phuc Pham

This paper introduces a framework for multi-target drug discovery that combines latent evolution and synthesis-aware prioritization to generate and prioritize drug candidates with high translational potential.

LANTERN improves molecular interaction prediction by integrating large language models and transformers, achieving state-of-the-art results on DTI, DDI, and PPI tasks.

This paper introduces a Generative AI-assisted Virtual Screening Pipeline for drug repurposing that enables blind screening of protein targets without prior structural knowledge.