| SAbDab: the structural antibody database J Dunbar, K Krawczyk, J Leem, T Baker, A Fuchs, G Georges, J Shi, ... Nucleic acids research 42 (D1), D1140-D1146, 2014 | 399 | 2014 |
| Five computational developability guidelines for therapeutic antibody profiling MIJ Raybould, C Marks, K Krawczyk, B Taddese, J Nowak, AP Lewis, ... Proceedings of the National Academy of Sciences 116 (10), 4025-4030, 2019 | 225 | 2019 |
| SAbPred: a structure-based antibody prediction server J Dunbar, K Krawczyk, J Leem, C Marks, J Nowak, C Regep, G Georges, ... Nucleic acids research 44 (W1), W474-W478, 2016 | 165 | 2016 |
| Observed antibody space: a resource for data mining next-generation sequencing of antibody repertoires A Kovaltsuk, J Leem, S Kelm, J Snowden, CM Deane, K Krawczyk The Journal of Immunology 201 (8), 2502-2509, 2018 | 153 | 2018 |
| Improving B-cell epitope prediction and its application to global antibody-antigen docking K Krawczyk, X Liu, T Baker, J Shi, CM Deane Bioinformatics 30 (16), 2288-2294, 2014 | 153 | 2014 |
| Computational approaches to therapeutic antibody design: established methods and emerging trends RA Norman, F Ambrosetti, AMJJ Bonvin, LJ Colwell, S Kelm, S Kumar, ... Briefings in bioinformatics 21 (5), 1549-1567, 2020 | 147 | 2020 |
| Progress and challenges in predicting protein interfaces R Esmaielbeiki, K Krawczyk, B Knapp, JC Nebel, CM Deane Briefings in bioinformatics 17 (1), 117-131, 2016 | 134 | 2016 |
| Antibody i-Patch prediction of the antibody binding site improves rigid local antibody–antigen docking K Krawczyk, T Baker, J Shi, CM Deane Protein Engineering, Design & Selection 26 (10), 621-629, 2013 | 97 | 2013 |
| Quantifying online news media coverage of the COVID-19 pandemic: Text mining study and resource K Krawczyk, T Chelkowski, DJ Laydon, S Mishra, D Xifara, B Gibert, ... Journal of medical Internet research 23 (6), e28253, 2021 | 96 | 2021 |
| STCRDab: the structural T-cell receptor database J Leem, SHP de Oliveira, K Krawczyk, CM Deane Nucleic acids research 46 (D1), D406-D412, 2018 | 64 | 2018 |
| How B-cell receptor repertoire sequencing can be enriched with structural antibody data A Kovaltsuk, K Krawczyk, JD Galson, DF Kelly, CM Deane, J Trück Frontiers in immunology 8, 1753, 2017 | 60 | 2017 |
| Structurally mapping antibody repertoires K Krawczyk, S Kelm, A Kovaltsuk, JD Galson, D Kelly, J Trück, C Regep, ... Frontiers in immunology 9, 1698, 2018 | 38 | 2018 |
| Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics R Khetan, R Curtis, CM Deane, JT Hadsund, U Kar, K Krawczyk, ... MAbs 14 (1), 2020082, 2022 | 34 | 2022 |
| Looking for therapeutic antibodies in next-generation sequencing repositories K Krawczyk, MIJ Raybould, A Kovaltsuk, CM Deane MAbs 11 (7), 1197-1205, 2019 | 25 | 2019 |
| Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery W Wilman, S Wróbel, W Bielska, P Deszynski, P Dudzic, I Jaszczyszyn, ... Briefings in Bioinformatics 23 (4), bbac267, 2022 | 23 | 2022 |
| Computational tools for aiding rational antibody design K Krawczyk, J Dunbar, CM Deane Computational protein design, 399-416, 2017 | 23 | 2017 |
| INDI—integrated nanobody database for immunoinformatics P Deszyński, J Młokosiewicz, A Volanakis, I Jaszczyszyn, N Castellana, ... Nucleic Acids Research 50 (D1), D1273-D1281, 2022 | 20 | 2022 |
| SciRide Finder: a citation-based paradigm in biomedical literature search A Volanakis, K Krawczyk Scientific reports 8 (1), 6193, 2018 | 19 | 2018 |
| Data mining patented antibody sequences K Krawczyk, A Buchanan, P Marcatili MAbs 13 (1), 1892366, 2021 | 13 | 2021 |
| AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design J Młokosiewicz, P Deszyński, W Wilman, I Jaszczyszyn, R Ganesan, ... Bioinformatics 38 (9), 2628-2630, 2022 | 9 | 2022 |
Charlotte DeaneProfessor of Structural Bioinformatics, Oxford UniversityVerified email at stats.ox.ac.uk
