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Professor Garrett Morris

Associate Professor of Systems Approaches to Biomedicine, Deputy Director of Graduate Studies - Co-Director of the EPSRC & MRC Systems Approaches to Biomedical Science Centre for Doctoral Training and EPSRC & MRC Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research Centre for Doctoral Training

Research Fellow at Green Templeton College

Oxford Protein Informatics Group

+44 (0)1865 272860 (Department)
+44 (0)1865 281770 (Direct)

Biographical Sketch

Professor Morris began as an Oxford undergraduate Chemist, completing his Part II and DPhil with W. Graham Richards in molecular modelling and graphical protein sequence analysis. In 1991 he moved to The Scripps Research Institute, California, to work on developing the protein-ligand dockingsoftware, AutoDock. In 2000 he helped to launch the first biomedical volunteer computing project, FightAIDS@Home, which spawned other biomedical projects on IBM’s World Community Grid. He moved back to the UK in 2008 to work in the Oxford spinout, InhibOx (now Oxford Drug Design), doing ‘real-world’ drug discovery, where he co-supervised SABS CDT students, developed novel virtual screening methods, and spearheaded the use of cloud computing. He later worked at another Oxford spinout, Crysalin, developing novel protein engineering techniques for reliable protein crystallization. He is now an Associate Professor and works closely with Prof. Deane in the Department of Statistics in the Oxford Protein Informatics Group (OPIG). Like Charlotte, he is also Programme Co-Director for the EPSRC & MRC SABS CDT (Systems Approaches to Biomedical Science Centre for Doctoral Training), which as renewed in 2019 as the ESPRC & MRC Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research Centre for Doctoral Training, or EPSRC & MRC SABS R3 CDT. In September 2019, he was made Deputy Director of Graduate Studies here in the Department of Statistics.

Research Interests

I am interested in the application of statistical methods and software development in computer-aided drug discovery, chiefly in high throughput docking, ligand-based virtual screening, network pharmacology and systems chemical biology, cheminfomatics, bioinformatics. I am particularly interested in the applications of machine learning, including active learning, deep learning, and Bayesian optimization

Publications

  • J. P. Ebejer, P. W. Finn, W. K. Wong, C. M. Deane, and G. M. Morris. “Ligity: A Non-Superpositional, Knowledge-Based Approach to Virtual Screening”, Journal of Chemical Information and Modeling, 59 (6), 2600-2616 (2019).
  • L. Chan, G. R. Hutchison, and G. M. Morris. “Bayesian Optimization for Conformer Generation”, Journal of Cheminformatics, 11: 32, (2019).
  • F. Boyles, C. M. Deane, and G. M. Morris. “Learning from the Ligand: Using Ligand-Based Features to Improve Binding Affinity Prediction”, Bioinformatics, Accepted: August 16, (2019), 10.1093/bioinformatics/btz665.
  • L. Chan, G. R. Hutchison, and G. M. Morris. “BOKEI: Bayesian Optimization Using Knowledge of Correlated Torsions and Expected Improvement for Conformer Generation”, Journal of Chemical Theory and Computation, Submitted, August 8, (2019).
  • A. Abuhammad, E. Fullam, S. Bhakta, A. J. Russell, G. M. Morris, P. W. Finn and E. Sim. “Exploration of piperidinols as potential antitubercular agents”, Molecules, 19 (10), 16274-90 (2014).
  • J. Healy, S. Ekkerman, C. Pliotas, M. Richard, W. Bartlett, S. C. Grayer, G. M. Morris, S. Miller, I. R. Booth, S. J. Conway and T. Rasmussen. “Understanding the structural requirements for activators of the Kef bacterial potassium efflux system”, Biochemistry, 53 (12), 1982-92 (2014).
  • G. A. Ross, G. M. Morris and P. C. Biggin. “One Size Does Not Fit All: The Limits of Structure-Based Models in Drug Discovery”, Journal of Chemical Theory and Computation, 9 (9), 4266-4274. (2013).
  • J. P. Ebejer, S. Fulle, G. M. Morris and P. F. Finn. “The emerging role of cloud computing in molecular modelling”, Journal of Molecular Graphics and Modelling, 44, 177-87 (2013).
  • A. Cortés-Cabrera, G. M. Morris, P. W. Finn, A. Morreale and F. Gago. “Comparison of ultra-fast 2D and 3D ligand and target descriptors for side effect prediction and network analysis in polypharmacology”, British Journal of Pharmacology, 170 (3), 557-67 (2013).
  • G. M. Morris, L. G. Green, Z. Radić, P. Taylor, K. B. Sharpless, A. J. Olson and F. Grynszpan. “Automated docking with protein flexibility in the design of femtomolar “click chemistry” inhibitors of acetylcholinesterase”, Journal of Chemical Information and Modeling, 53 (4): 898-906 (2013).

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