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Methods in Molecular Biology (Clifton, N.J.)|September 3, 2021
The Therapeutic Antibody Profiler for Computational Developability AssessmentMatthew I J Raybould, Charlotte M Deane
Nucleic Acids Research|January 6, 2022
SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure trackerConstantin Schneider, Matthew I J Raybould, Charlotte M Deane
Bioinformatics (Oxford, England)|October 10, 2025
STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparationNele P Quast, Charlotte M Deane, Matthew I J Raybould
Mabs|November 16, 2021
Current strategies for detecting functional convergence across B-cell receptor repertoiresMatthew I J Raybould, Anthony R Rees, Charlotte M Deane
Bioinformatics (Oxford, England)|August 18, 2020
CoV-AbDab: the coronavirus antibody databaseMatthew I J Raybould, Aleksandr Kovaltsuk, Claire Marks, et al.
Mabs|June 21, 2019
Looking for therapeutic antibodies in next-generation sequencing repositoriesKonrad Krawczyk, Matthew I J Raybould, Aleksandr Kovaltsuk, et al.
Frontiers in Immunology|May 30, 2024
Prospects for the computational humanization of antibodies and nanobodiesGemma L Gordon, Matthew I J Raybould, Ashley Wong, et al.
Frontiers in Immunology|January 26, 2023
Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodiesMatthew I J Raybould, Daniel A Nissley, Sandeep Kumar, et al.
Communications Biology|January 8, 2024
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profilingMatthew I J Raybould, Oliver M Turnbull, Annabel Suter, et al.
Plos Computational Biology|March 1, 2021
Public Baseline and shared response structures support the theory of antibody repertoire functional commonalityMatthew I J Raybould, Claire Marks, Aleksandr Kovaltsuk, et al.
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