Charlotte Deane
Professor Charlotte Deane
Lecturer in Bioinformatics
Fellow at Kellogg College
deane at stats.ox.ac.uk
+44 (0)1865 272860 (Department)
+44 (0)1865 281301 (Direct)
+44 (0)1865 272595 (Fax number)
Research interests
Protein structure evolution
Protein structure prediction
Analysis/prediction of protein-protein interactions
The group works in the protein bioinformatics area. Currently the research focuses on understanding protein structure and improving our ability to model and design proteins. To this end my group is developing a rigorous definition of evolutionary relationships between proteins of differing structures using, in the initial stages, genomic data and building novel protein structure prediction software. In a separate thread the group has been examining protein-protein interaction networks in terms of both their quality and use as a predictive tool.
Academic Record
2002 - Lecturer in Bioinformatics, Department of Statistics, University of Oxford.
2000 - 2002 Wellcome Prize Travelling Research Fellow, At the UCLA-DOE center for genomics and Proteomics Working with Prof. David Eisenberg on protein interaction networks and amyloidogenic proteins.
1997 - 2000 Graduate student, Crystallography and Bioinformatics group, University of Cambridge. Working with Prof. Tom Blundell on protein structure prediction.
Selected publications
Saunders, R. and Deane, C.M. (2010) Synonymous codon usuage influences the local protein structure observed, Nucleic Acids Res.
Kelm, S., Shi, J. and Deane, C.M. (2010) MEDELLER: Homology-Based Coordinate Generation for Membrane Proteins, Bioinformatics
Choi, Y. and Deane C.M. (2010) FREAD revisited: Accurate loop structure prediction using a database search algorithm, Proteins 78, 1431-1440
Huard, F.P., Deane, C.M. and Wood, G.R. Modelling sequential protein folding under kinetic control.
Bioinformatics. 2006 Jul 15;22(14):e203-10.
Saeed R, Deane CM. Protein protein interactions, evolutionary rate, abundance and age.
BMC Bioinformatics. 2006 Mar 13;7(1):128
Winstanley HF, Abeln S, Deane CM (2005) How old is your fold? Bioinformatics. 2005 Jun 1;21 Suppl 1:i449-i458
Charlotte M. Deane*, Lukasz Salwinski*, Ioannis Xenarios and David Eisenberg
Protein interactions: Two methods for assessment of the reliability of high-throughput observations
Molecular and Cellular Proteomics (2002) 1:349-356
Charlotte M. Deane and Tom L. Blundell. CODA: A combined algorithm for predicting the structurally variable regions of protein models. Protein Sci. (2001) 10:599-612
Full list of publications
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