معرفی
Garib Murshudov is a Research Professor at the Medical Research Council Laboratory of Molecular Biology (MRC-LMB), University of Cambridge, specializing in computational structural biology. His work focuses on developing mathematical and statistical algorithms for macromolecular crystallography (MX) and electron cryo-microscopy (cryo-EM), enabling high-accuracy 3D structure determination. He leads a team that created widely used software tools including REFMAC5, Coot, AceDRG, and ProSMART, distributed via CCP4 and CCP-EM initiatives.
His research leverages Bayesian methods to integrate experimental data with prior structural and chemical knowledge, particularly for noisy or limited datasets. Key applications include refinement of atomic models against cryo-EM maps and solving structures of complex biological macromolecules like ribosomes and neurodegenerative disease proteins (e.g., tau filaments in Alzheimer’s disease).
Recent publications highlight his contributions to cryo-EM methodology, software pipelines (LORESTR, BALBES), and structural studies of macromolecular complexes. His work bridges computational innovation with experimental validation, advancing fields such as structural bioinformatics, molecular modeling, and method development.
Group members include Lucrezia Catapano, Paul Emsley, Fei Long, Martin Maly, and Alexander Shtyrov. His collaborative efforts span disciplines like molecular biology, neuroscience, and computational imaging.
