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James Dunbar
James Dunbar
Bioinformatics Data Scientist
Verified email at benevolent.ai - Homepage
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Cited by
Cited by
Year
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
4512014
ANARCI: antigen receptor numbering and receptor classification
J Dunbar, CM Deane
Bioinformatics 32 (2), 298-300, 2016
2632016
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
2012016
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
1812016
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
1222013
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
692017
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
582015
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
422014
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
402014
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
242017
Computational tools for aiding rational antibody design
K Krawczyk, J Dunbar, CM Deane
Computational protein design, 399-416, 2017
242017
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
32013
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
22023
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
12018
Gastrointestinal parasite infections in Nepalese Gurkha recruits arriving in the United Kingdom from 2012–2020
WD Nevin, J Jones, D Tupper, JAT Dunbar, D Wilson, D Ross, S Woolley, ...
PLoS neglected tropical diseases 18 (1), e0011931, 2024
2024
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
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