Jacob Durrant,

Summary

Dr. Durrant's research focuses on developing computational tools and machine learning methods to accelerate early-stage drug discovery, with applications to cancer therapeutics. His lab creates open-source software for molecular docking, protein-ligand interaction analysis, and fragment-based lead optimization. By combining machine learning approaches with traditional structure-based methods, his work aims to identify and optimize small-molecule compounds that target cancer-relevant proteins, ultimately streamlining the path from computational prediction to experimental validation.