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Peter Minary is a Professor in the Department of Computer Science at the University of Oxford, specializing in computational structural biology. His research interests focus on the development of methodologies to explore conformational space in large biological macromolecules. Minary's work combines applied statistics and scientific computing to address complex challenges in structural molecular biology. Among his significant contributions is the development of optimization sampling algorithms, including the linear complexity chain closure algorithm and the Hierarchical Natural Move Monte Carlo protocol, which have been implemented in the software package MOSAICS. This software aids in comprehensive investigations of protein folding and the design of RNA nanostructures, including fitting molecular structures to cryo-electron microscopy images. His research is oriented towards the mechanistic study of structural phenomena through computational investigations and interpreting experimental results, with key interests in functional motion of nanomachines, structural immunoinformatics, and modeling large DNA structures. Representative publications include works on peptide/MHC detachment processes, training-free atomistic predictions of nucleosome occupancy, and hierarchical natural moves with notable collaborators such as Michael Levitt.
University of Oxford • Oxford, England
Professor in the Department of Computer Science, focusing on computational structural biology and algorithm development.
Department of Politics and International Relations - Higher Level English requirement.