Dr Matthew Raybould

Postdoctoral Researcher


 

About Me

I’m currently a postdoctoral researcher in immunoinformatics working with Professor Charlotte Deane in the Oxford Protein Informatics Group.

Background

2021-Present: Postdoctoral Researcher in Immunoinformatics, Oxford Protein Informatics Group
2020-2021: Postdoctoral Research Assistant in Immunoinformatics, Oxford Protein Informatics Group
2016-2020: DPhil in Immunoinformatics, Oxford Protein Informatics Group (New College)
2012-2016: MChem in Chemistry (University of Oxford, Merton College)

Research Interests

Analysing datasets of B-cell/antibody/T-cell sequences and structures to better characterise the adaptive immune system, improving our understanding of pathogen responses, immunosenesence, immunodeficiency, autoimmunity, allergy, and cancer. I’m particularly motivated to translate the lessons we learn to the design of novel diagnostics and therapeutics that improve patient outcomes.

Publications

Raybould, M., Turnbull, O., Suter, A., Guloglu, B. and Deane, C. (2024) “Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling”, Communications Biology, 7(1).
Abanades, B., Olsen, T., Raybould, M., Aguilar-Sanjuan, B., Wong, W., Georges, G., Bujotzek, A. and Deane, C. (2023) “The patent and literature antibody database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures”, Nucleic Acids Research [Preprint].
Raybould, M., Nissley, D., Kumar, S. and Deane, C. (2023) “Computationally profiling peptide: MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, Frontiers in Immunology, 13.
Raybould, M. and Deane, C. (2022) “The Therapeutic Antibody Profiler for Computational Developability Assessment.”, in, pp. 115–125.
Robinson, S., Raybould, M., Schneider, C., Wong, W., Marks, C. and Deane, C. (2021) “Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies”, PLoS Computational Biology, 17(12).
Schneider, C., Raybould, M. and Deane, C. (2021) “SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker”, Nucleic Acids Research, 50(D1), pp. D1368 - D1372.
Raybould, M., Rees, A. and Deane, C. (2021) “Current strategies for detecting functional convergence across B-cell receptor repertoires”, mAbs, 13(1).
Raybould, M., Marks, C., Kovaltsuk, A., Lewis, A., Shi, J. and Deane, C. (2021) “Public Baseline and shared response structures support the theory of antibody repertoire functional commonality”, PLOS Computational Biology, 17(3).
Galson, J., Schaetzle, S., Bashford-Rogers, R., Raybould, M., Kovaltsuk, A., Kilpatrick, G., Minter, R., Finch, D., Dias, J., James, L., Thomas, G., Lee, W.-Y., Betley, J., Cavlan, O., Leech, A., Deane, C., Seoane, J., Caldas, C., Pennington, D., Pfeffer, P. and Osbourn, J. (2020) “Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures”, Frontiers in Immunology, 11.
Raybould, M., Kovaltsuk, A., Marks, C. and Deane, C. (2020) “CoV-AbDab: the coronavirus antibody database”, Bioinformatics, 37(5), pp. 734–735.

Contact Details

Email: matthew.raybould@stats.ox.ac.uk

Office: 2.04

Research Groups

Oxford Protein Informatics Group

Computational Biology and Bioinformatics