| CoV-AbDab: the coronavirus antibody database MIJ Raybould, A Kovaltsuk, C Marks, CM Deane Bioinformatics 37 (5), 734-735, 2021 | 352 | 2021 |
| 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 | 208 | 2018 |
| Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures JD Galson, S Schaetzle, RJM Bashford-Rogers, MIJ Raybould, ... Frontiers in immunology 11, 605170, 2020 | 135 | 2020 |
| 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 | 67 | 2017 |
| Maturation of the human immunoglobulin heavy chain repertoire with age M Ghraichy, JD Galson, A Kovaltsuk, V Von Niederhäusern, ... Frontiers in immunology 11, 1734, 2020 | 54 | 2020 |
| Structurally mapping antibody repertoires K Krawczyk, S Kelm, A Kovaltsuk, JD Galson, D Kelly, J Trück, C Regep, ... Frontiers in immunology 9, 1698, 2018 | 43 | 2018 |
| Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice A Kovaltsuk, MIJ Raybould, WK Wong, C Marks, S Kelm, J Snowden, ... PLoS computational biology 16 (2), e1007636, 2020 | 39 | 2020 |
| Public Baseline and shared response structures support the theory of antibody repertoire functional commonality MIJ Raybould, C Marks, A Kovaltsuk, AP Lewis, J Shi, CM Deane PLoS computational biology 17 (3), e1008781, 2021 | 34* | 2021 |
| Looking for therapeutic antibodies in next-generation sequencing repositories K Krawczyk, MIJ Raybould, A Kovaltsuk, CM Deane MAbs 11 (7), 1197-1205, 2019 | 30 | 2019 |
| Different B cell subpopulations show distinct patterns in their IgH repertoire metrics M Ghraichy, V von Niederhäusern, A Kovaltsuk, JD Galson, CM Deane, ... Elife 10, e73111, 2021 | 20 | 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 | 17 | 2022 |
| Characterisation of the immune repertoire of a humanised transgenic mouse through immunophenotyping and high-throughput sequencing E Richardson, Š Binter, M Kosmac, M Ghraichy, V von Niederhäusern, ... Elife 12, e81629, 2023 | 12 | 2023 |
| Filtering next-generation sequencing of the Ig gene repertoire data using antibody structural information A Kovaltsuk, K Krawczyk, S Kelm, J Snowden, CM Deane The Journal of Immunology 201 (12), 3694-3704, 2018 | 9 | 2018 |
| Large scale paired antibody language models H Kenlay, FA Dreyer, A Kovaltsuk, D Miketa, D Pires, CM Deane arXiv preprint arXiv:2403.17889, 2024 | 6 | 2024 |
| Maturation of naïve and antigen-experienced B-cell receptor repertoires with age M Ghraichy, JD Galson, A Kovaltsuk, V von Niederhäusern, ... bioRxiv, 2019 | 3 | 2019 |
| 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 | | 2024 |
| Using antibody next generation sequencing data to aid antibody engineering A Kovaltsuk University of Oxford, 2020 | | 2020 |
Charlotte DeaneProfessor of Structural Bioinformatics, Oxford UniversityVerified email at stats.ox.ac.uk
