Probabilistic classifier: generated using randomised sub-sampling of the feature space. - Jonathan D. Tyzack; Hamse Y. Mussa; Robert C. Glen (J. Cheminformatics, 2012)

Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms. - Johannes Kirchmair; Mark J. Williamson; Jonathan D. Tyzack; Lu Tan; Peter J. Bond; Andreas Bender 002; Robert C. Glen (J. Chem. Inf. Model., 2012)

FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous Enzymes. - Johannes Kirchmair; Mark J. Williamson; Avid M. Afzal; Jonathan D. Tyzack; Alison P. K. Choy; Andrew Howlett; Patrik Rydberg; Robert C. Glen (J. Chem. Inf. Model., 2013)

Prediction of Cytochrome P450 Xenobiotic Metabolism: Tethered Docking and Reactivity Derived from Ligand Molecular Orbital Analysis. - Jonathan D. Tyzack; Mark J. Williamson; Rubben Torella; Robert C. Glen (J. Chem. Inf. Model., 2013)

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers. - Jonathan D. Tyzack; Hamse Y. Mussa; Mark J. Williamson; Johannes Kirchmair; Robert C. Glen (J. Cheminformatics, 2014)

Predicting Regioselectivity and Lability of Cytochrome P450 Metabolism Using Quantum Mechanical Simulations. - Jonathan D. Tyzack; Peter A. Hunt; Matthew D. Segall (J. Chem. Inf. Model., 2016)

Transform-MinER: transforming molecules in enzyme reactions. - Jonathan D. Tyzack; António J. M. Ribeiro; Neera Borkakoti; Janet M. Thornton (Bioinform., 2018)

WhichP450: a multi-class categorical model to predict the major metabolising CYP450 isoform for a compound. - Peter A. Hunt; Matthew D. Segall; Jonathan D. Tyzack (J. Comput. Aided Mol. Des., 2018)

Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites. - António J. M. Ribeiro; Gemma L. Holliday; Nicholas Furnham; Jonathan D. Tyzack; Katherine Ferris; Janet M. Thornton (Nucleic Acids Res., 2018)

Finding enzyme cofactors in Protein Data Bank. - Abhik Mukhopadhyay; Neera Borkakoti; Lukás Pravda; Jonathan D. Tyzack; Janet M. Thornton; Sameer Velankar (Bioinform., 2019)

GRaSP: a graph-based residue neighborhood strategy to predict binding sites. - Charles Abreu Santana; Sabrina de Azevedo Silveira; João P. A. Moraes; Sandro C. Izidoro; Raquel Cardoso de Melo Minardi; António J. M. Ribeiro; Jonathan D. Tyzack; Neera Borkakoti; Janet M. Thornton (Bioinform., 2020)

PDBe-KB: a community-driven resource for structural and functional annotations. - Mihaly Varadi; John M. Berrisford; Mandar S. Deshpande; Sreenath Nair; Aleksandras Gutmanas; David R. Armstrong; Lukás Pravda; Bissan Al-Lazikani; Stephen Anyango; Geoffrey J. Barton; Karel Berka; Tom L. Blundell; et al. (Nucleic Acids Res., 2020)

GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs. - Charles Abreu Santana; Sandro C. Izidoro; Raquel Cardoso de Melo Minardi; Jonathan D. Tyzack; António J. M. Ribeiro; Douglas E. V. Pires; Janet M. Thornton; Sabrina de Azevedo Silveira (Nucleic Acids Res., 2022)

Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme-ligand complexes. - Ondrej Vavra; Jonathan D. Tyzack; Farzan Haddadi; Jan Stourac; Jirí Damborský; Stanislav Mazurenko; Janet M. Thornton; David Bednar (J. Cheminformatics, 2024)