Oxford University
Verified email at - Homepage
Cited by
Cited by
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
ANARCI: antigen receptor numbering and receptor classification
J Dunbar, CM Deane
Bioinformatics 32 (2), 298-300, 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
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
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
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
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
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
The H3 loop of antibodies shows unique structural characteristics
C Regep, G Georges, J Shi, B Popovic, CM Deane
Proteins: Structure, Function, and Bioinformatics 85 (7), 1311-1318, 2017
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
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
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
Length-independent structural similarities enrich the antibody CDR canonical class model
J Nowak, T Baker, G Georges, S Kelm, S Klostermann, J Shi, S Sridharan, ...
MAbs 8 (4), 751-760, 2016
Structurally mapping antibody repertoires
K Krawczyk, S Kelm, A Kovaltsuk, JD Galson, D Kelly, J Trück, C Regep, ...
Frontiers in immunology 9, 1698, 2018
Computational tools for aiding rational antibody design
K Krawczyk, J Dunbar, CM Deane
Computational Protein Design, 399-416, 2017
SCALOP: sequence-based antibody canonical loop structure annotation
WK Wong, G Georges, F Ros, S Kelm, AP Lewis, B Taddese, J Leem, ...
Bioinformatics 35 (10), 1774-1776, 2019
Antibody side chain conformations are position‐dependent
J Leem, G Georges, J Shi, CM Deane
Proteins: Structure, Function, and Bioinformatics 86 (4), 383-392, 2018
ABodyBuilder: automated antibody structure prediction with data-driven accuracy estimation. MAbs 8 (7): 1259–1268
J Leem, J Dunbar, G Georges, J Shi, CM Deane
Cited on, 47, 2016
High-throughput antibody structure modeling and design using abodybuilder
J Leem, CM Deane
Computational Methods in Protein Evolution, 367-380, 2019
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
The system can't perform the operation now. Try again later.
Articles 1–20