Victor Adebomi

Victor Adebomi is a Research Fellow in the Department of Medicinal Chemistry at the University of Washington's School of Pharmacy, actively contributing to the Bhardwaj Lab within the Medicinal Chemistry Fellows program. His work bridges experimental and computational approaches to advance therapeutic peptide design and drug discovery.

His research focuses on Medicinal Chemistry, Chemical Biology, and Peptide Chemistry, specializing in novel methodologies for peptide macrocyclization, selective amide bond modifications, and cyclic peptide library synthesis. Key innovations include tag-free screening platforms, bioinspired nitroalkylation techniques, and deep learning applications for protein-binding macrocycles, aiming to overcome limitations in bioactive compound stability and target specificity.

Recent publications reveal a strong trend toward integrating computational tools with synthetic chemistry, particularly in de novo macrocycle design and late-stage peptide diversification. His work in Nature Chemical Biology (2025) demonstrates AI-driven approaches for high-affinity binders, while earlier studies establish foundational chemical strategies for amide bond transformations and cyclic tetrapeptide synthesis.

Dr. Adebomi collaborates within the Bhardwaj Lab and the broader Medicinal Chemistry Fellows network, contributing to the Department of Medicinal Chemistry's mission in drug development. His research aligns with institutional initiatives in targeted therapeutics and computational pharmacology at the University of Washington.