Charlotte Deane
Charlotte Deane
Professor of Structural Bioinformatics, Oxford University
Verified email at - Homepage
Cited by
Cited by
Protein interactions: two methods for assessment of the reliability of high throughput observations
CM Deane, Ł Salwinski, I Xenarios, D Eisenberg
Molecular & Cellular Proteomics 1 (5), 349-356, 2002
HOMSTRAD: a database of protein structure alignments for homologous families
K Mizuguchi, CM Deane, TL Blundell, JP Overington
Protein science 7 (11), 2469-2471, 1998
JOY: protein sequence-structure representation and analysis.
K Mizuguchi, CM Deane, TL Blundell, MS Johnson, JP Overington
Bioinformatics (Oxford, England) 14 (7), 617-623, 1998
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
Reduced amounts and abnormal forms of phospholipase C zeta (PLCζ) in spermatozoa from infertile men
E Heytens, J Parrington, K Coward, C Young, S Lambrecht, SY Yoon, ...
Human Reproduction 24 (10), 2417-2428, 2009
CoV-AbDab: the coronavirus antibody database
MIJ Raybould, A Kovaltsuk, C Marks, CM Deane
Bioinformatics 37 (5), 734-735, 2021
ANARCI: antigen receptor numbering and receptor classification
J Dunbar, CM Deane
Bioinformatics 32 (2), 298-300, 2016
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
A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density
NM Pearce, T Krojer, AR Bradley, P Collins, RP Nowak, R Talon, ...
Nature communications 8 (1), 15123, 2017
Freely available conformer generation methods: how good are they?
JP Ebejer, GM Morris, CM Deane
Journal of chemical information and modeling 52 (5), 1146-1158, 2012
Avoiding false positive conclusions in molecular simulation: the importance of replicas
B Knapp, L Ospina, CM Deane
Journal of Chemical Theory and Computation 14 (12), 6127-6138, 2018
Synonymous codon usage influences the local protein structure observed
R Saunders, CM Deane
Nucleic acids research 38 (19), 6719-6728, 2010
FREAD revisited: accurate loop structure prediction using a database search algorithm
Y Choi, CM Deane
Proteins: Structure, Function, and Bioinformatics 78 (6), 1431-1440, 2010
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
CODA: a combined algorithm for predicting the structurally variable regions of protein models
CM Deane, TL Blundell
Protein Science 10 (3), 599-612, 2001
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
The prospects of quantum computing in computational molecular biology
C Outeiral, M Strahm, J Shi, GM Morris, SC Benjamin, CM Deane
Wiley Interdisciplinary Reviews: Computational Molecular Science 11 (1), e1481, 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
Deep generative models for 3D linker design
F Imrie, AR Bradley, M van der Schaar, CM Deane
Journal of chemical information and modeling 60 (4), 1983-1995, 2020
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
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