| SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker C Schneider, MIJ Raybould, CM Deane Nucleic acids research 50 (D1), D1368-D1372, 2022 | 97 | 2022 |
| DLAB: deep learning methods for structure-based virtual screening of antibodies C Schneider, A Buchanan, B Taddese, CM Deane Bioinformatics 38 (2), 377-383, 2022 | 82 | 2022 |
| Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies SA Robinson, MIJ Raybould, C Schneider, WK Wong, C Marks, ... PLoS computational biology 17 (12), e1009675, 2021 | 37 | 2021 |
| Investigating the volume and diversity of data needed for generalizable antibody-antigen∆∆ G prediction AM Hummer, C Schneider, L Chinery, CM Deane bioRxiv, 2023.05. 17.541222, 2023 | 17 | 2023 |
| Inverse folding for antibody sequence design using deep learning FA Dreyer, D Cutting, C Schneider, H Kenlay, CM Deane arXiv preprint arXiv:2310.19513, 2023 | 14 | 2023 |
| Towards the accurate modelling of antibody− antigen complexes from sequence using machine learning and information-driven docking M Giulini, C Schneider, D Cutting, N Desai, CM Deane, AMJJ Bonvin Bioinformatics 40 (10), btae583, 2024 | 12 | 2024 |
| Epitope profiling of coronavirus-binding antibodies using computational structural modelling SA Robinson, MIJ Raybould, C Schneider, WK Wong, C Marks, ... bioRxiv, 2021.04. 12.439478, 2021 | 8 | 2021 |
| De Novo Antibody Design with SE(3) Diffusion D Cutting, FA Dreyer, D Errington, C Schneider, CM Deane Journal of Computational Biology, 2024 | 5 | 2024 |
| Deep learning algorithms for predicting association between antibody sequence, structure, and antibody properties CC Schneider University of Oxford, 2021 | 2 | 2021 |
| Assessing interaction recovery of predicted protein-ligand poses D Errington, C Schneider, C Bouysset, FA Dreyer arXiv preprint arXiv:2409.20227, 2024 | 1 | 2024 |
| Computational design of developable therapeutic antibodies: efficient traversal of binder landscapes and rescue of escape mutations FA Dreyer, C Schneider, A Kovaltsuk, D Cutting, MJ Byrne, DA Nissley, ... bioRxiv, 2024.10. 03.616038, 2024 | 1 | 2024 |
| Transformers trained on proteins can learn to attend to Euclidean distance I Ellmen, C Schneider, MIJ Raybould, CM Deane arXiv preprint arXiv:2502.01533, 2025 | | 2025 |
| Epitope profiling of coronavirus-binding antibodies using computational structural modelling (preprint) SA Robinson, MIJ Raybould, C Marks, C Schneider, WK Wong, ... | | 2021 |
| De novo design of antibody heavy chains with SE (3) diffusion FA Dreyer, D Cutting, D Errington, C Schneider, C Deane NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 0 | | |
