Author

Matthew I. J. Raybould

Observed names: Matthew I J Raybould, Matthew I. Raybould, Matthew I.J. Raybould, Matthew Raybould, Matthew I J Raybould, Raybould, Matthew, Raybould, Matthew I J, Raybould, Matthew I. J., Raybould, Matthew Ian James

Institutions: Oxford Research Group, University of Oxford, Science Oxford

Observed institutions: Oxford Research Group, University of Oxford, Science Oxford

ORCID: 0000-0002-5663-5297

Observed ORCID: 0000-0002-5663-5297

OpenAlex ID: A5024715537

CoV-AbDab: the coronavirus antibody database

2020 · Matthew I J Raybould, Aleksandr Kovaltsuk, et al. · Bioinformatics · 382

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Five computational developability guidelines for therapeutic antibody profiling

2019 · Matthew I. J. Raybould, Claire Marks, et al. · Proceedings of the National Academy of Sciences · 356

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Thera-SAbDab: the Therapeutic Structural Antibody Database

2019 · Matthew I J Raybould, Claire Marks, et al. · Nucleic Acids Research · 195

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SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker

2021 · Constantin Schneider, Matthew I J Raybould, et al. · Nucleic Acids Research · 152

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Deep Sequencing of B Cell Receptor Repertoires From COVID-19 Patients Reveals Strong Convergent Immune Signatures

2020 · Jacob D. Galson, Sebastian Schaetzle, et al. · Frontiers in Immunology · 140

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Ultrahigh frequencies of peripherally matured LGI1- and CASPR2-reactive B cells characterize the cerebrospinal fluid in autoimmune encephalitis

2024 · Jakob Theorell, Ruby Harrison, et al. · Proceedings of the National Academy of Sciences · 47

Prospects for the computational humanization of antibodies and nanobodies

2024 · Gemma L. Gordon, Matthew I. J. Raybould, et al. · Frontiers in Immunology · 46

The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures

2023 · Brennan Abanades, Tobias H Olsen, et al. · Nucleic Acids Research · 46

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Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies

2021 · Sarah A. Robinson, Matthew I. J. Raybould, et al. · PLoS Computational Biology · 46

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Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling

2024 · Matthew I. J. Raybould, Oliver M. Turnbull, et al. · Communications Biology · 43

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Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice

2020 · Aleksandr Kovaltsuk, Matthew I. J. Raybould, et al. · PLoS Computational Biology · 39

Current strategies for detecting functional convergence across B-cell receptor repertoires

2021 · Matthew I. J. Raybould, Anthony R. Rees, et al. · mAbs · 37

The Observed T Cell Receptor Space database enables paired-chain repertoire mining, coherence analysis, and language modeling

2024 · Matthew I.J. Raybould, Alexander Greenshields-Watson, et al. · Cell Reports · 30

Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells

2024 · Katrin Fischer, Aleksei Lulla, et al. · Nature Biotechnology · 30

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Looking for therapeutic antibodies in next-generation sequencing repositories

2019 · Konrad Krawczyk, Matthew I. J. Raybould, et al. · mAbs · 29

Public Baseline and shared response structures support the theory of antibody repertoire functional commonality

2021 · Matthew I. J. Raybould, Claire Marks, et al. · PLoS Computational Biology · 28

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A comparative study of the developability of full-length antibodies, fragments, and bispecific formats reveals higher stability risks for engineered constructs

2024 · Itzel Condado-Morales, Fabian Dingfelder, et al. · mAbs · 27

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Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind to the same epitope

2023 · Fabian C. Spoendlin, Brennan Abanades, et al. · Frontiers in Molecular Biosciences · 25

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The Therapeutic Antibody Profiler for Computational Developability Assessment

2021 · Matthew I. J. Raybould, Charlotte M. Deane · Methods in molecular biology · 25

T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity

2025 · Nele P. Quast, Brennan Abanades, et al. · Communications Biology · 22

AIntibody: an experimentally validated in silico antibody discovery design challenge

2024 · M. Frank Erasmus, Laura Spector, et al. · Nature Biotechnology · 22

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Antibody–antigen complex modelling in the era of immunoglobulin repertoire sequencing

2019 · Matthew I. J. Raybould, Wing Ki Wong, et al. · Molecular Systems Design & Engineering · 16

Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies

2023 · Matthew I. J. Raybould, Daniel A. Nissley, et al. · Frontiers in Immunology · 14

STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparation

2025 · Nele P Quast, Charlotte M Deane, et al. · Bioinformatics · 4

Lymphodepleting chemotherapy potentiates neoantigen-directed T cell therapy by enhancing antigen presentation