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Computer Science

D-Index
57
Citations
14125
World Ranking
3807
National Ranking
230

Overview

Charlotte M. Deane is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the fields of biochemistry, genetics, molecular biology, and medicine, with a notable focus on several subfields including molecular biology, radiology, nuclear medicine and imaging, immunology, computational theory and mathematics, and materials chemistry.

Their work covers a variety of topics related to antibody research and immunology, such as:

  • Monoclonal and Polyclonal Antibodies Research
  • Vaccines and Immunoinformatics Approaches
  • Computational Drug Discovery Methods
  • Glycosylation and Glycoproteins Research
  • Protein Structure and Dynamics
  • Protein Purification and Stability
  • T-cell and B-cell Immunology

Charlotte M. Deane has contributed multiple scientific papers across various reputed publication venues. Some recent papers include:

  • CoV-AbDab: the coronavirus antibody database, 2020, Bioinformatics
  • Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences, 2021, Protein Science
  • ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins, 2023, Communications Biology
  • Deep Generative Models for 3D Linker Design, 2020, Journal of Chemical Information and Modeling
  • PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences, 2023, Chemical Science

The scientist frequently publishes in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • arXiv (Cornell University)
  • Frontiers in Immunology
  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature

Collaborations have been established with several frequent co-authors including:

  • Matthew I. J. Raybould
  • Aleksandr Kovaltsuk
  • Wing Ki Wong
  • Constantin Schneider
  • Brennan Abanades

Best Publications

  • Protein Interactions Two Methods for Assessment of the Reliability of High Throughput Observations

    Charlotte M. Deane;Łukasz Salwiński;Ioannis Xenarios;David Eisenberg

  • HOMSTRAD: A database of protein structure alignments for homologous families

    Kenji Mizuguchi;Charlotte M. Deane;Tom L. Blundell;John P. Overington

  • SAbDab: the structural antibody database

    James Dunbar;Konrad Krawczyk;Jinwoo Leem;Terry Baker

  • JOY: protein sequence-structure representation and analysis.

    Kenji Mizuguchi;Charlotte M. Deane;Tom L. Blundell;Mark S. Johnson

  • ANARCI: antigen receptor numbering and receptor classification

    James Dunbar;Charlotte M. Deane

  • CoV-AbDab: the Coronavirus Antibody Database.

    Matthew I J Raybould;Aleksandr Kovaltsuk;Claire Marks;Charlotte M Deane

  • The prospects of quantum computing in computational molecular biology

    Carlos Outeiral;Martin Strahm;Jiye Shi;Garrett M. Morris

  • Five computational developability guidelines for therapeutic antibody profiling.

    Matthew I. J. Raybould;Claire Marks;Konrad Krawczyk;Bruck Taddese

  • Avoiding False Positive Conclusions in Molecular Simulation: The Importance of Replicas

    Bernhard Knapp;Bernhard Knapp;Luis Ospina;Luis Ospina;Charlotte M. Deane

  • Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences.

    Tobias H Olsen;Fergus Boyles;Charlotte M Deane

  • Observed Antibody Space: A Resource for Data Mining Next-Generation Sequencing of Antibody Repertoires.

    Aleksandr Kovaltsuk;Jinwoo Leem;Sebastian Kelm;James Snowden

  • ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation.

    Jinwoo Leem;James Dunbar;Guy Georges;Jiye Shi

  • Freely Available Conformer Generation Methods: How Good Are They?

    Jean-Paul Ebejer;Garrett M. Morris;Charlotte M. Deane

  • Deep Generative Models for 3D Linker Design.

    Fergus Imrie;Anthony R. Bradley;Mihaela van der Schaar;Mihaela van der Schaar;Charlotte M. Deane

  • SAbPred: a structure-based antibody prediction server.

    James Dunbar;Konrad Krawczyk;Jinwoo Leem;Claire Marks

  • Thera-SAbDab: the Therapeutic Structural Antibody Database.

    Matthew I J Raybould;Claire Marks;Alan P Lewis;Jiye Shi

  • FREAD revisited: Accurate loop structure prediction using a database search algorithm

    Yoonjoo Choi;Charlotte M. Deane

  • Improving B-cell epitope prediction and its application to global antibody-antigen docking

    Konrad Krawczyk;Xiaofeng Liu;Terry Baker;Jiye Shi

  • CODA: A combined algorithm for predicting the structurally variable regions of protein models

    Charlotte M. Deane;Tom L. Blundell

  • Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks

    Sumeet Agarwal;Charlotte M. Deane;Mason A. Porter;Nick S. Jones

  • Progress and challenges in predicting protein interfaces

    Reyhaneh Esmaielbeiki;Konrad Krawczyk;Bernhard Knapp;Jean-Christophe Nebel

Frequent Co-Authors

Jiye Shi
Jiye Shi UCB Pharma (Belgium)
Tom L. Blundell
Tom L. Blundell University of Cambridge
Tom Eirik Mollnes
Tom Eirik Mollnes Oslo University Hospital
Mason A. Porter
Mason A. Porter University of California, Los Angeles
Mihaela van der Schaar
Mihaela van der Schaar University of Cambridge
Rafael A. Fissore
Rafael A. Fissore University of Massachusetts Amherst
John Parrington
John Parrington University of Oxford
Judith P. Armitage
Judith P. Armitage University of Oxford
Dmitri I. Svergun
Dmitri I. Svergun European Bioinformatics Institute
Stefan Knapp
Stefan Knapp Goethe University Frankfurt

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