EXTERNAL SITES
Oxford Protein Informatics Group (OPIG)
What we do
In OPIG, our research interests cover several areas in the field of protein structure and interaction networks, combining both theoretical work and empirical analyses. Of particular interest are the concepts of protein structure evolution, protein folding and structure prediction, as well as understanding the structure and evolution of protein interaction networks.
People
Academic Staff
Research Staff
- Florian Klimm
- Claire Marks
Visitor
- Eoin Malins
Students
- Joseph Bluck
- Fergus Boyles
- Lyuba Bozhilova
- Lucian Chan
- Mark Chonofsky
- Laura Depner
- Fergus Imrie
- Aleksandr Kovaltsuk
- Susan Leung
- Elliot Nelson
- Anne Nierobisch
- Carlos Outeiral Rubiera
- Javier Pardo Diaz
- Hannah Patel
- Eve Richardson
- Matthew Raybould
- Constantin Schneider
- Dominik Schwartz
- Clare West
- Conor Wild
- James Wilsenach
- Wing Ki (Catherine) Wong
- Anna Carbery
Publications
- Pearce, N.M., Krojer, T., Bradley, A.R., Collins, P., Nowak, R.P., Talon, R., Marsden, B.D., Kelm, S., Shi, J., Deane, C.M. & von Delft, F. (2017), A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density, Nature Communications, 8:15123.
- Regep, C., Georges, G., Shi, J., Popovic, B. & Deane, C.M. (2017), The H3 loop of antibodies shows unique structural characteristics, Proteins: Structure, Function, and Bioinformatics, 85(7):1311-1318.
- Knapp, B., Dunbar, J., Alcala, M. & Deane, C.M. (2017,) Variable Regions of Antibodies and T-Cell Receptors May Not Be Sufficient in Molecular Simulations Investigating Binding, Journal of Chemical Theory and Computation, 13(7):3097-3105.
- Pearce, N.M., Bradley, A.R., Krojer, T., Marsden, B.D., Deane, C.M. & von Delft, F. (2017). Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites, Struct. Dyn., 4(3):32104.
- de Oliveira, S. & Deane, C. (2017), Co-evolution techniques are reshaping the way we do structural bioinformatics, F1000Research, 6:1224.
- Marks, C., Nowak, J., Klostermann, S., Georges, G., Dunbar, J., Shi, J., Kelm, S. & Deane, C.M. (2017), Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction, Bioinformatics, pages btw823.
- Marks, C. & Deane, C.M. (2017), Antibody H3 Structure Prediction, Comput. Struct. Biotechnol. J., 15:222-231.
- Chen, J.W.C., Chen, Z.A., Rogala, K.B., Metz, J., Deane, C.M., Rappsilber, J. & Wakefield, J.G. (2017). Cross-linking mass spectrometry identifies new interfaces of Augmin required to localise the \gamma-tubulin ring complex to the mitotic spindle, Biology open, 6(5):654-663.
- Deane, C.M. & Vásquez, M. (2017,) Developability of Biotherapeutics: Computational Approaches, Edited by Sandeep Kumar and Satish K. Singh MAbs, 9(1):12-14.
- Demharter, S., Pearce, N., Beattie, K., Frost, I., Leem, J., Martin, A., Oppenheimer, R., Regep, C., Rukat, T., Skates, A., Trendel, N., Gavaghan, D.J., Deane, C.M. & Knapp, B. (2017), Ten simple rules for surviving an interdisciplinary PhD, PLOS Computational Biology, 13(5):e1005512