| 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 | 621 | 2014 |
| ANARCI: antigen receptor numbering and receptor classification J Dunbar, CM Deane Bioinformatics 32 (2), 298-300, 2016 | 365 | 2016 |
| ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation J Leem, J Dunbar, G Georges, J Shi, CM Deane MAbs 8 (7), 1259-1268, 2016 | 235 | 2016 |
| 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 | 221 | 2016 |
| ABangle: characterising the VH–VL orientation in antibodies J Dunbar, A Fuchs, J Shi, CM Deane Protein Engineering, Design & Selection 26 (10), 611-620, 2013 | 137 | 2013 |
| Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction C Marks, J Nowak, S Klostermann, G Georges, J Dunbar, J Shi, S Kelm, ... Bioinformatics 33 (9), 1346-1353, 2017 | 73 | 2017 |
| Prediction of VH–VL domain orientation for antibody variable domain modeling A Bujotzek, J Dunbar, F Lipsmeier, W Schäfer, I Antes, CM Deane, ... Proteins: Structure, Function, and Bioinformatics 83 (4), 681-695, 2015 | 60 | 2015 |
| Examining variable domain orientations in antigen receptors gives insight into TCR-like antibody design J Dunbar, B Knapp, A Fuchs, J Shi, CM Deane PLoS computational biology 10 (9), e1003852, 2014 | 48 | 2014 |
| Large scale characterization of the LC13 TCR and HLA-B8 structural landscape in reaction to 172 altered peptide ligands: a molecular dynamics simulation study B Knapp, J Dunbar, CM Deane PLoS computational biology 10 (8), e1003748, 2014 | 40 | 2014 |
| Variable regions of antibodies and T-cell Receptors may not be sufficient in molecular simulations investigating binding B Knapp, J Dunbar, M Alcala, CM Deane Journal of chemical theory and computation 13 (7), 3097-3105, 2017 | 28 | 2017 |
| Computational tools for aiding rational antibody design K Krawczyk, J Dunbar, CM Deane Computational Protein Design, 399-416, 2017 | 28 | 2017 |
| ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation. MAbs 8, 1259–1268 J Leem, J Dunbar, G Georges, J Shi, CM Deane DOI: https://doi. org/10.1080/19420862.2016 1205773, 2016 | 19 | 2016 |
| DYRK1B inhibition exerts senolytic effects on endothelial cells and rescues endothelial dysfunctions FM Pramotton, A Abukar, C Hudson, J Dunbar, A Potterton, S Tonnicchia, ... Mechanisms of Ageing and Development 213, 111836, 2023 | 12 | 2023 |
| Describing protein structure geometry to aid in functional understanding CM Deane, J Dunbar, A Fuchs, KV Mardia, J Shi, HR Wilman, ... LASR2013 Proceedings—Statistical Models and Methods for non-Euclidean Data …, 2013 | 3 | 2013 |
| ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation (vol 8, pg 1259, 2018) J Leem, J Dunbar, G Georges, J Shi, CM Deane MAbs 10 (3), 511-512, 2018 | 1 | 2018 |
| Identification of a TNIK-CDK9 axis as a targetable strategy for platinum-resistant ovarian cancer N Puleo, H Ram, ML Dziubinski, D Carvette, J Teitel, SC Sekhar, K Bedi, ... Molecular Cancer Therapeutics, OF1-OF18, 2025 | | 2025 |
| The antibody antigen interaction: a new approach for in silico epitope study A Vangone, A Bujotzek, J Dunbar, S Dengl, C Deane, G Georges F1000Research 8, 2019 | | 2019 |
| Variable domain orientations in antigen receptors J Dunbar Oxford University, UK, 2014 | | 2014 |
| Acknowledgementsajr_1163 253 S Allen, P Aron, J Astbury, R Bailie, P Baker, T Baker, G Baratiny, ... Aust. J. Rural Health 18, 253, 2010 | | 2010 |
| A Bright Future for Rural Health A Larson, D Lyle, J Dunbar, J Wakerman, L Barclay, J Stirling New Millennium Print, 2010 | | 2010 |
Charlotte DeaneProfessor of Structural Bioinformatics, Oxford UniversityVerified email at stats.ox.ac.uk
