Author

Christopher R. Taylor

University of OxfordORCID 0000-0001-9465-5742Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:contrastive learning· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Charlotte Mary DeaneiD· 2 shared Alexander Greenshields‐WatsoniD· 1 shared Ben H. WilliamsiD· 1 shared Eric Ji Da WangiD· 1 shared Fabian C. SpoendliniD· 1 shared Henriette CapeliD· 1 shared Odysseas VavourakisiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Charlotte Mary DeaneORCID

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2 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedOct 25, 2026

SAbDab2: The structural antibody database in the age of machine learning

Henriette Capel, Odysseas Vavourakis, Ben H. Williams…·Charlotte Mary Deane

SAbDab2 provides updated antibody structures with machine learning-ready data and standardized splits for research.

3 citationstop 1%

protein structuredatabase / resource

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 11, 2026

Fast retrieval of structurally similar antibodies from large sequence databases with AbSLang

Eric Ji Da Wang, Fabian C. Spoendlin, Alexander Greenshields‐Watson…·Charlotte Mary Deane

AbSLang-search efficiently retrieves structurally similar antibodies from large sequence databases using a contrastive learning model for CDR RMSD prediction.

DOI 10.64898/2026.08.05.742817

protein sequencecontrastive learning

𝕏 PostBluesky