Joe G Greener
Joe G Greener
Group leader, MRC LMB
Verified email at - Homepage
Cited by
Cited by
A guide to machine learning for biologists
JG Greener, SM Kandathil, L Moffat, DT Jones
Nature Reviews Molecular Cell Biology 23 (1), 40-55, 2022
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
JG Greener, SM Kandathil, DT Jones
Nature communications 10 (1), 3977, 2019
Design of metalloproteins and novel protein folds using variational autoencoders
JG Greener, L Moffat, DT Jones
Scientific reports 8 (1), 16189, 2018
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13
SM Kandathil, JG Greener, DT Jones
Proteins: Structure, Function, and Bioinformatics 87 (12), 1092-1099, 2019
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis
JG Greener, MJE Sternberg
BMC bioinformatics 16, 1-7, 2015
Structure-based prediction of protein allostery
JG Greener, MJE Sternberg
Current Opinion in Structural Biology 50, 1-8, 2018
Recent developments in deep learning applied to protein structure prediction
SM Kandathil, JG Greener, DT Jones
Proteins: Structure, Function, and Bioinformatics 87 (12), 1179-1189, 2019
High‐Throughput Kinetic Analysis for Target‐Directed Covalent Ligand Discovery
GB Craven, DP Affron, CE Allen, S Matthies, JG Greener, RML Morgan, ...
Angewandte Chemie International Edition 57 (19), 5257-5261, 2018
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins
SM Kandathil, JG Greener, AM Lau, DT Jones
Proceedings of the National Academy of Sciences 119 (4), e2113348119, 2022
Predicting protein dynamics and allostery using multi-protein atomic distance constraints
JG Greener, I Filippis, MJE Sternberg
Structure 25 (3), 546-558, 2017
Using AlphaFold for rapid and accurate fixed backbone protein design
L Moffat, JG Greener, DT Jones
Biorxiv, 2021.08. 24.457549, 2021
Julia for biologists
E Roesch, JG Greener, AL MacLean, H Nassar, C Rackauckas, TE Holy, ...
Nature Methods 20 (5), 655-664, 2023
Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins
JG Greener, DT Jones
PloS one 16 (9), e0256990, 2021
BioStructures. jl: read, write and manipulate macromolecular structures in Julia
JG Greener, J Selvaraj, BJ Ward
Bioinformatics 36 (14), 4206-4207, 2020
Fast protein structure searching using structure graph embeddings
JG Greener, K Jamali
bioRxiv, 2022.11. 28.518224, 2022
Differentiable simulation to develop molecular dynamics force fields for disordered proteins
JG Greener
Chemical Science, 2024
Near-complete protein structural modelling of the minimal genome
JG Greener, N Desai, SM Kandathil, DT Jones
arXiv preprint arXiv:2007.06623, 2020
Molecular mechanism of Mad2 conformational conversion promoted by the Mad2-interaction motif of Cdc20
CWH Yu, ES Fischer, JG Greener, J Yang, Z Zhang, SMV Freund, ...
bioRxiv, 2024.03. 03.583158, 2024
In-silico guided prediction of allosteric sites on proteins: application to cyclin-dependent kinase 2
J Greener
Imperial College London, 2018
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