Matt Raybould

Postdoctoral Researcher in Immunoinformatics

Welcome to my academic website! I'm currently a Postdoctoral Research Assistant at the University of Oxford, working in the Oxford Protein Informatics Group (OPIG).

Research Interests: I am fascinated by the adaptive immune system and am driven to understand the efficiency of the naive/baseline antibody repertoire, whose relatively sparse diversity can instigate immune responses against almost any antigen. We aim to harness the growing body of antibody repertoire sequencing data to elucidate core principles governing B-cell selection and response across populations. Our belief in OPIG is that coupling genetic information (clonality) with structural information (binding site topography) will yield exciting discoveries that can contribute to the fields of immunodiagnostics, immunosenescence, immunodeficiency/autoimmunity, allergy, and nature-inspired immunotherapeutic/vaccine design.

Academic Positions

Education

Student Research Experience

Therapeutic Antibody Discovery
(DPhil Project, 2017-2020)

Thesis title: "Structure-Aware Tools for the Development of Therapeutic Antibodies from Natural Immunoglobulins". Supervised by Prof. Charlotte Deane in the Department of Statistics, in collaboration with GSK, Roche, AstraZeneca (then MedImmune) and UCB.

Antibody Informatics
(Rotation Project, 2017)

Supervised by Prof. Charlotte Deane in the Department of Statistics, in collaboration with GSK, Roche, MedImmune and UCB.

Molecular Dynamics of the hERG Ion Channel
(Rotation Project, 2017)

Jointly supervised by Dr. Phillip Stansfeld and Prof. Mark Sansom in the Department of Biochemistry, in collaboration with UCB.

Mechanistic Insights into the Horner-Wadsworth-Emmons and Still-Gennari Olefinations
(Master's Project, 2015-2016)

A DFT computational study into the intra- and inter-molecular interactions governing diastereoselectivity in these two closely related organic systems. Master's project conducted in Prof. Robert Paton's group.

Designing a Synthesis of the [18F]-Labelled SSAO/VAP-1 Inhibitor, PXS-4681A
(Summer Project, 2014)

Working towards a new [18F]-labelled synthesis of a potential anti-inflammatory drug desired by oncology departments. Vacation project conducted in Prof. Véronique Gouverneur's group.

Publications

All written research outputs, divided into preprints (papers currently in peer review with a journal, but not yet accepted), peer-reviewed papers, invited articles, and book chapters.

Preprints

  • Robinson, S.A. and Raybould, M.I.J.; Schneider, C.; Wong, W.K.; Marks, C.; Deane, C.M. (2021) Epitope profiling of coronavirus-binding antibodies using computational structural modelling. bioRxiv. doi: 10.1101/2021.04.12.439478.

    [Link to Preprint]

Peer-Reviewed Papers

  1. Raybould, M.I.J.; Marks, C.; Kovaltsuk, A.; Lewis, A.P.; Shi, J. & Deane, C.M. (2021) Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality. PLoS Comput. Biol. 17(3):e1008781.

    [Links to Paper; Datasets]

  2. Galson, J.D.; Schaetzle, S.; Bashford-Rogers, R.J.M.; Raybould, M.I.J.; Kovaltsuk, A.; Kilpatrick, G.J.; Minter, R.; Finch, D.K.; Dias, J.; James, L.; Thomas, G.; Lee, W.-Y.J.; Betley, J.; Cavlan, O.; Leech, A.; Deane, C.M.; Seoane, J.; Caldas, C.; Pennington, D.; Pfeffer, P.; Osbourn, J. (2020) Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures. Front. Immunol. doi: 10.1101/2020.05.20.106294.

    [Link to Paper]

  3. Raybould, M.I.J.; Kovaltsuk, A.; Marks, C. & Deane, C.M. (2020) CoV-AbDab: the Coronavirus Antibody Database. Bioinformatics doi: 10.1093/bioinformatics/btaa739

    [Links to Paper; Database]

  4. Kovaltsuk, A.; Raybould, M.I.J.; Wong, W.K.; Marks, C.; Kelm, S.; Snowden, J.; Trück, J. & Deane, C.M. (2020) Structural Diversity of B-cell Receptor Repertoires along the B-cell Differentiation Axis in Humans and Mice. PLoS Comp. Bio. doi: 10.1371/journal.pcbi.1007636.

    [Link to Paper]

  5. Raybould, M.I.J.; Marks, C.; Lewis, A.P.; Shi, J.; Bujotzek, A.; Taddese, B. & Deane, C.M. (2020) Thera-SAbDab: the Therapeutic Structural Antibody Database. Nucleic Acids Res. 48(1):D383-D388.

    [Links to Paper; Database]

  6. Krawczyk, K.; Raybould, M.I.J.; Kovaltsuk, A.; Deane, C.M. (2019) Looking for Therapeutic Antibodies in Next-Generation Sequencing Repositories. mAbs 11(7):1197-1205.

    [Link to Paper]

  7. Raybould, M.I.J. and Wong, W.K.; Deane, C.M. (2019) Antibody-Antigen Complex Modelling in the Era of Immunoglobulin Repertoire Sequencing. Mol. Syst. Des. Eng. 4(4):679-688.

    [Link to Review]

  8. Raybould, M.I.J.; Marks, C.; Krawczyk, K.; Taddese, B.; Nowak, J.; Lewis, A.P.; Bujotzek, A.; Shi, J.; Deane, C.M. (2019) Five Computational Developability Guidelines for Therapeutic Antibody Profiling. Proc. Natl. Acad. Sci. USA. 116(10):4025-4030.

    [Links to Paper; Web Application]

Invited Articles

  1. Raybould, M.I.J.; Deane C.M. (2019) Structural Information to Aid in silico Therapeutic Antibody Design from Next-Generation Sequencing Repertoires. Am. Pharm. Rev. 22(5):30-35.

    [Link to Article]

Book Chapters

  1. Raybould, M.I.J.; Deane C.M. (2021) The Therapeutic Antibody Profiler for Computational Developability Assessment. Chapter in: Therapeutic Antibodies (Methods in Molecular Biology). In Press.

Conferences

Upcoming

    November 2021: European Antibody Congress, Basel (Switzerland). Infectious diseases talk. "Epitope profiling of coronavirus-binding antibodies using computational structural modelling".

2021

  • April: Meeting Minds Global, Virtual. Outreach talk. "How a database of coronavirus-binding antibodies (CoV-AbDab) can help us control SARS-CoV-2".
  • April: CASSS Higher Order Structure, Virtual. Invited talk. "Five computational developability guidelines for therapeutic antibody profiling".

2020

  • November: BioDataScience101, Virtual. Invited talk: "Antibody sequence analysis to better understand SARS-CoV-2 infection".
  • November: European Antibody Congress, Virtual. Talk: "Public Baseline and Shared Response Structures and their Application for Screening Library Design".
  • July: Intelligent Systems in Molecular Biology, Virtual. Two talks: "CoV-AbDab: the Coronavirus Antibody Database" and "Evidence for Antibody Functional Convergence through Public Baseline and Shared Response Structures".

2018

  • July: Intelligent Systems in Molecular Biology, Chicago USA. Poster: "The Therapeutic Antibody Profiler; Five Computational Developability Guidelines".

Teaching

From October 2017, I have tutored the first year Merton biochemists in organic chemistry/mechanistic biochemistry. I have also mentored students through the first (Prelims) and third (Finals, Part IB) year chemistry courses at Merton. I am always eager for new teaching opportunities, so please contact me if you require a tutor in chemistry. All tutorial problem sets are available via Canvas.

Contact

Address

24-29 St Giles'
Department of Statistics
University of Oxford
Oxford
OX1 3LB

Email

matthew.raybould@stats.ox.ac.uk

LinkedIn

in/mraybould