معرفی
Paul Bond is a Researcher at the York Structural Biology Laboratory, University of York. His work focuses on computational methods for macromolecular structure determination, particularly in crystallography and cryo-electron microscopy (Cryo-EM). Key research interests include automation of density modification, model building, and software development for structural biology. He collaborates closely with Professor Kathryn Cowtan on tools like ModelCraft and Shift-field refinement algorithms.
His research spans from foundational algorithm development to applied software engineering, with a strong emphasis on integrating machine learning and deep learning techniques. Recent advancements include NucleoFind (a deep learning tool for nucleic acid density analysis) and contributions to the CCP4 software suite. Paul’s work has been published in top journals such as Acta Crystallographica, highlighting his expertise in structural bioinformatics and automated model validation.
Notable projects include the EMDataResource Ligand Modeling Challenge and Privateer web app for carbohydrate structure validation. His publications reflect a trajectory from earlier synthetic chemistry work (e.g., organolithium-mediated scaffolds) to current computational structural biology.
