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)

DLAB: deep learning methods for structure-based virtual screening of antibodies. - Constantin Schneider; Andrew Buchanan; Bruck Taddese; Charlotte M. Deane (Bioinform., 2022)

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)

Inverse folding for antibody sequence design using deep learning. - Frédéric A. Dreyer; Daniel Cutting; Constantin Schneider; Henry Kenlay; Charlotte M. Deane (CoRR, 2023)

De novo antibody design with SE(3) diffusion. - Daniel Cutting; Frédéric A. Dreyer; David Errington; Constantin Schneider; Charlotte M. Deane (CoRR, 2024)

De Novo Antibody Design with SE(3) Diffusion. - Daniel Cutting; Frédéric A. Dreyer; David Errington; Constantin Schneider; Charlotte M. Deane (J. Comput. Biol., 2025)

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)

Assessing interaction recovery of predicted protein-ligand poses. - David Errington; Constantin Schneider; Cédric Bouysset; Frédéric A. Dreyer (J. Cheminformatics, 2025)