Charlotte Deane
Professor of Structural Bioinformatics
Facts
16 properties- Instance of
- human
- Date of birth
- May 6, 1975
- Occupation
- researcher, statistician
- Field of work
- structural biology, bioinformatics[4][5]
- Award received
- Fellow of the Royal Society[10]
- Official website
- www.stats.ox.ac.uk, opig.stats.ox.ac.uk[18][19]
- Doctoral advisor
- Tom Blundell[9]
- Student of
- Graham Richards, David Eisenberg
- Academic thesis
- Protein structure prediction: amino acid propensities and comparative modelling[20]
- On focus list of Wikimedia project
- WikiProject COVID-19[21]
🏷️ Also known as
en Charlotte Deane
en Charlotte Mary Deane
en Charlotte M. Deane
ar شارلوت ماري دين
ja シャーロット・ディーン
🔖 Identifiers · 8
- ORCID iD
- 0000-0003-1388-2252
- Image (Wikimedia Commons)
- Professor Charlotte Deane.jpg ↗
- DBLP author ID
- 82/1876
- Gateway to Research person ID
- 79CD75A7-15C1-4BAB-9AA5-53CFDDE4F4CB
- Google Knowledge Graph ID
- /g/11hcfk1xr6
- Google Scholar author ID
- QAdcBnQAAAAJ
- Mathematics Genealogy Project ID
- 162922
- Scopus author ID
- 54407024300, 7004460109
🔗 Connections
Author of 40
ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation,
Addressing the antibody germline bias and its effect on language models for improved antibody design,
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening,
Assessing AF2’s ability to predict structural ensembles of proteins,
Avoiding False Positive Conclusions in Molecular Simulation: The Importance of Replicas,
Building a Better Fragment Library for De Novo Protein Structure Prediction,
Comparing co-evolution methods and their application to template-free protein structure prediction,
Comparison of large networks with sub-sampling strategies
+32 more
← Authored by 40
ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation,
Addressing the antibody germline bias and its effect on language models for improved antibody design,
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening,
Assessing AF2’s ability to predict structural ensembles of proteins,
Avoiding False Positive Conclusions in Molecular Simulation: The Importance of Replicas,
Building a Better Fragment Library for De Novo Protein Structure Prediction,
Comparing co-evolution methods and their application to template-free protein structure prediction,
Comparison of large networks with sub-sampling strategies
+32 more
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Summary
Charlotte Deane was born on May 6, 1975[1]. She has worked as a researcher[2] and statistician[3].
FAQs
What did Charlotte Deane do for work?
Charlotte Deane worked as a researcher[2] and statistician[3].
Where did Charlotte Deane go to school?
Charlotte Deane was educated at Croydon High School[8].
What awards did Charlotte Deane receive?
Honors received include Fellow of the Royal Society[10].