Computational and Data Science
The Computational and Data Science team conducts research into state-of-the-art computational chemistry, drives industry-defining, data-based insights, and integrates relevant tools into the CCDC suite.
Selected Publications
- 2022
Fragment Hotspot Mapping to Identify Selectivity-Determining Regions between Related Proteins
Mihaela D. Smilova, Peter R. Curran, Chris J. Radoux, Frank von Delft, Jason C. Cole, Anthony R. Bradley, Brian D. Marsden
- 2021
Conformational Change in Molecular Crystals: Impact of solvate formation and importance of conformational free energies.
Wright, Sarah; Cole, Jason; Cruz-Cabeza, Aurora
- 2021
Mechanistic insight into the fluorescence activity of forensic fingerprinting reagents
L. M. Hunnisett, P. F. Kelly, S. Bleay, F. Plasser, R. King, B. McMurchie, and P. Goddard
- 2021
Automated In-Silico Energy Mapping of Facet Specific Inter-Particle Interactions
Alexandru A. Moldovan, Radoslav Penchev, Robert B. Hammond, Jakub Janowiak, Thomas Hardcastle, Andrew Maloney, Simon Connell
- 2021
Augmenting structure-based design with experimental protein-ligand interaction data: molecular recognition, interactive visualization and rescoring
Andreas Tosstorff, Bernd Kuhn, Jason C. Cole, Robin Taylor
- 2021
Validation of a field-based ligand screener using a novel benchmarking data set for assessing 3D-based virtual screening methods.
Ilenia Giangreco, Abhik Mukhopadhyay and Jason C. Cole