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.
Who we are
Academic Staff
Research Staff
- Fergus Boyles
- Oliver Crook
- Claire Marks
- Daniel Nissley (Florence Nightingale Fellow)
- Matthew Raybould
- Ruben Sanchez
Visitor
- Eoin Malins
Students
- Patrick Brennab
- Lucian Chan
- Mark Chonofsky
- An Goto
- Tom Hadfield
- Fergus Imrie
- Aleksandr Kovaltsuk
- Marc Moesser
- Carlos Outeiral Rubiera
- Javier Pardo Diaz
- Matthew Raybould
- Eve Richardson
- Sarah Robinson
- Jack Scantlebury
- Constantin Schneider
- Dominik Schwartz
- Conor Wild
- James Wilsenach
- Wing Ki (Catherine) Wong
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.