Charlotte M. Deane

Orcid: 0000-0003-1388-2252

According to our database1, Charlotte M. Deane authored at least 103 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures.
J. Cheminformatics, December, 2024

Large scale paired antibody language models.
CoRR, 2024

2023
Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding.
J. Cheminformatics, December, 2023

PEP-Patch: Electrostatics in Protein-Protein Recognition, Specificity, and Antibody Developability.
J. Chem. Inf. Model., November, 2023

Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search.
J. Chem. Inf. Model., June, 2023

Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning.
Nat. Mac. Intell., April, 2023

Paragraph - antibody paratope prediction using graph neural networks with minimal feature vectors.
Bioinform., January, 2023

Inverse folding for antibody sequence design using deep learning.
CoRR, 2023

Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions.
Proceedings of the International Conference on Machine Learning, 2023

2022
Generating weighted and thresholded gene coexpression networks using signed distance correlation.
Netw. Sci., 2022

SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker.
Nucleic Acids Res., 2022

Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration.
J. Chem. Inf. Model., 2022

Learning from Docked Ligands: Ligand-Based Features Rescue Structure-Based Scoring Functions When Trained on Docked Poses.
J. Chem. Inf. Model., 2022

Extracting Information from Gene Coexpression Networks of <i>Rhizobium leguminosarum</i>.
J. Comput. Biol., 2022

DLAB: deep learning methods for structure-based virtual screening of antibodies.
Bioinform., 2022

Current structure predictors are not learning the physics of protein folding.
Bioinform., 2022

ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation.
Bioinform., 2022

Ranking of communities in multiplex spatiotemporal models of brain dynamics.
Appl. Netw. Sci., 2022

2021
Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies.
PLoS Comput. Biol., 2021

Public Baseline and shared response structures support the theory of antibody repertoire functional commonality.
PLoS Comput. Biol., 2021

Hypergraphs for predicting essential genes using multiprotein complex data.
J. Complex Networks, 2021

Co-evolutionary distance predictions contain flexibility information.
Bioinform., 2021

CoV-AbDab: the coronavirus antibody database.
Bioinform., 2021

Robust gene coexpression networks using signed distance correlation.
Bioinform., 2021

Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains.
Bioinform., 2021

Humanization of antibodies using a machine learning approach on large-scale repertoire data.
Bioinform., 2021

Generating property-matched decoy molecules using deep learning.
Bioinform., 2021

COGENT: evaluating the consistency of gene co-expression networks.
Bioinform., 2021

2020
Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice.
PLoS Comput. Biol., 2020

Thera-SAbDab: the Therapeutic Structural Antibody Database.
Nucleic Acids Res., 2020

Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions.
J. Chem. Inf. Model., 2020

Deep Generative Models for 3D Linker Design.
J. Chem. Inf. Model., 2020

TCRBuilder: multi-state T-cell receptor structure prediction.
Bioinform., 2020

The evolution of contact prediction: evidence that contact selection in statistical contact prediction is changing.
Bioinform., 2020

Learning from the ligand: using ligand-based features to improve binding affinity prediction.
Bioinform., 2020

2019
MHC binding affects the dynamics of different T-cell receptors in different ways.
PLoS Comput. Biol., 2019

Ligity: A Non-Superpositional, Knowledge-Based Approach to Virtual Screening.
J. Chem. Inf. Model., 2019

HLA-DM Stabilizes the Empty MHCII Binding Groove: A Model Using Customized Natural Move Monte Carlo.
J. Chem. Inf. Model., 2019

Assessment of model fit via network comparison methods based on subgraph counts.
J. Complex Networks, 2019

Measuring rank robustness in scored protein interaction networks.
BMC Bioinform., 2019

SCALOP: sequence-based antibody canonical loop structure annotation.
Bioinform., 2019

Increasing the accuracy of protein loop structure prediction with evolutionary constraints.
Bioinform., 2019

2018
STCRDab: the structural T-cell receptor database.
Nucleic Acids Res., 2018

Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.
J. Chem. Inf. Model., 2018

Identifying networks with common organizational principles.
J. Complex Networks, 2018

Sequential search leads to faster, more efficient fragment-based de novo protein structure prediction.
Bioinform., 2018

Combining co-evolution and secondary structure prediction to improve fragment library generation.
Bioinform., 2018

Predicting loop conformational ensembles.
Bioinform., 2018

CommWalker: correctly evaluating modules in molecular networks in light of annotation bias.
Bioinform., 2018

In silico structural modeling of multiple epigenetic marks on DNA.
Bioinform., 2018

pyHVis3D: visualising molecular simulation deduced H-bond networks in 3D: application to T-cell receptor interactions.
Bioinform., 2018

2017
Ten simple rules for surviving an interdisciplinary PhD.
PLoS Comput. Biol., 2017

Comparing co-evolution methods and their application to template-free protein structure prediction.
Bioinform., 2017

Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.
Bioinform., 2017

2016
SAbPred: a structure-based antibody prediction server.
Nucleic Acids Res., 2016

Tertiary Element Interaction in HIV-1 TAR.
J. Chem. Inf. Model., 2016

T-Cell Receptor Binding Affects the Dynamics of the Peptide/MHC-I Complex.
J. Chem. Inf. Model., 2016

Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo.
Bioinform., 2016

ANARCI: antigen receptor numbering and receptor classification.
Bioinform., 2016

Progress and challenges in predicting protein interfaces.
Briefings Bioinform., 2016

2015
Ten Simple Rules for a Successful Cross-Disciplinary Collaboration.
PLoS Comput. Biol., 2015

Structural Bridges through Fold Space.
PLoS Comput. Biol., 2015

WONKA: objective novel complex analysis for ensembles of protein-ligand structures.
J. Comput. Aided Mol. Des., 2015

Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulations.
Briefings Bioinform., 2015

2014
Ten Simple Rules for Effective Computational Research.
PLoS Comput. Biol., 2014

Large Scale Characterization of the LC13 TCR and HLA-B8 Structural Landscape in Reaction to 172 Altered Peptide Ligands: A Molecular Dynamics Simulation Study.
PLoS Comput. Biol., 2014

Examining Variable Domain Orientations in Antigen Receptors Gives Insight into TCR-Like Antibody Design.
PLoS Comput. Biol., 2014

SAbDab: the structural antibody database.
Nucleic Acids Res., 2014

Crowdsourcing Yields a New Standard for Kinks in Protein Helices.
J. Chem. Inf. Model., 2014

OOMMPPAA: A Tool To Aid Directed Synthesis by the Combined Analysis of Activity and Structural Data.
J. Chem. Inf. Model., 2014

Gro2mat: A package to efficiently read gromacs output in MATLAB.
J. Comput. Chem., 2014

Improving B-cell epitope prediction and its application to global antibody-antigen docking.
Bioinform., 2014

Alignment-free protein interaction network comparison.
Bioinform., 2014

2013
Exploring Fold Space Preferences of New-born and Ancient Protein Superfamilies.
PLoS Comput. Biol., 2013

Memoir: template-based structure prediction for membrane proteins.
Nucleic Acids Res., 2013

MP-T: improving membrane protein alignment for structure prediction.
Bioinform., 2013

2012
What Evidence Is There for the Homology of Protein-Protein Interactions?
PLoS Comput. Biol., 2012

Freely Available Conformer Generation Methods: How Good Are They?
J. Chem. Inf. Model., 2012

The Importance of Age and High Degree, in Protein-Protein Interaction Networks.
J. Comput. Biol., 2012

Producing High-Accuracy Lattice Models from Protein Atomic Coordinates Including Side Chains.
Adv. Bioinformatics, 2012

2011
Environment specific substitution tables improve membrane protein alignment.
Bioinform., 2011

2010
Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks.
PLoS Comput. Biol., 2010

The function of communities in protein interaction networks at multiple scales.
BMC Syst. Biol., 2010

Deciphering chemotaxis pathways using cross species comparisons.
BMC Syst. Biol., 2010

Directionality in protein fold prediction.
BMC Bioinform., 2010

How threshold behaviour affects the use of subgraphs for network comparison.
Bioinform., 2010

Exploring the potential of template-based modelling.
Bioinform., 2010

MEDELLER: homology-based coordinate generation for membrane proteins.
Bioinform., 2010

2009
iMembrane: homology-based membrane-insertion of proteins.
Bioinform., 2009

Functionally guided alignment of protein interaction networks for module detection.
Bioinform., 2009

2008
Predicting and Validating Protein Interactions Using Network Structure.
PLoS Comput. Biol., 2008

An assessment of the uses of homologous interactions.
Bioinform., 2008

2007
Using Phylogeny to Improve Genome-Wide Distant Homology Recognition.
PLoS Comput. Biol., 2007

Using the protein interaction network to predict protein folds without homology.
BMC Syst. Biol., 2007

Linking evolution of protein structures through fragments.
BMC Syst. Biol., 2007

A statistical approach using network structure in the prediction of protein characteristics.
Bioinform., 2007

Cotranslational protein folding - fact or fiction?
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006
Protein protein interactions, evolutionary rate, abundance and age.
BMC Bioinform., 2006

Modelling sequential protein folding under kinetic control.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
How old is your fold?
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

2001
SCORE: predicting the core of protein models.
Bioinform., 2001

2000
Browsing the SLoop database of structurally classified loops connecting elements of protein secondary structure.
Bioinform., 2000

1998
JOY: protein sequence-structure representation and analysis.
Bioinform., 1998


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