Thera-SAbDab: the Therapeutic Structural Antibody Database. - Matthew I. J. Raybould; Claire Marks; Alan P. Lewis; Jiye Shi; Alexander Bujotzek; Bruck Taddese; Charlotte M. Deane (Nucleic Acids Res., 2020)

Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice. - Aleksandr Kovaltsuk; Matthew I. J. Raybould; Wing Ki Wong; Claire Marks; Sebastian Kelm; James Snowden; Johannes Trück; Charlotte M. Deane (PLoS Comput. Biol., 2020)

CoV-AbDab: the coronavirus antibody database. - Matthew I. J. Raybould; Aleksandr Kovaltsuk; Claire Marks; Charlotte M. Deane (Bioinform., 2021)

Public Baseline and shared response structures support the theory of antibody repertoire functional commonality. - Matthew I. J. Raybould; Claire Marks; Aleksandr Kovaltsuk; Alan P. Lewis; Jiye Shi; Charlotte M. Deane (PLoS Comput. Biol., 2021)

Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies. - Sarah A. Robinson; Matthew I. J. Raybould; Constantin Schneider; Wing Ki Wong; Claire Marks; Charlotte M. Deane (PLoS Comput. Biol., 2021)

SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker. - Constantin Schneider; Matthew I. J. Raybould; Charlotte M. Deane (Nucleic Acids Res., 2022)

Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies. - Matthew I. J. Raybould; Daniel A. Nissley; Sandeep Kumar; Charlotte M. Deane (Zenodo, 2022)

Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies. - Matthew I. J. Raybould; Daniel A. Nissley; Sandeep Kumar; Charlotte M. Deane (Zenodo, 2022)

Transformers trained on proteins can learn to attend to Euclidean distance. - Isaac Ellmen; Constantin Schneider; Matthew I. J. Raybould; Charlotte M. Deane (Trans. Mach. Learn. Res., 2025)