Tahoura S. Samad

CleaveNet is an AI pipeline that designs protease substrates with high efficiency and selectivity, validated experimentally for MMP13.

This paper introduces a dual strategy to improve antimicrobial safety by engineering conditionally-active drug conjugates and co-administering antidotes, reducing toxicity while maintaining efficacy against bacterial infections.

This study designs nanobody-targeted conditional antimicrobial therapeutics to deliver therapeutic cargos to bacterial infection sites by enhancing protease activation through proximity-enabled reactivity.

This paper engineers multiplexed synthetic breath biomarkers to detect disease-specific protease activities and applies them to diagnose lung cancer and monitor treatment response in mice.