Joe Greener

Research Associate | UCL/Francis Crick Institute

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I am a research associate in the Bioinformatics Group at UCL. The group is based at the Francis Crick Institute. Previously I was a PhD student in the Structural Bioinformatics Group at Imperial College London.

My interests include protein structures, software development and open science. Currently my research involves developing computational methods to predict and design protein structures, with a focus on deep learning.

Modulation of adenylate cyclase


Google Scholar page

Greener JG, Moffat L and Jones DT, Design of metalloproteins and novel protein folds using variational autoencoders, Scientific Reports (2018) 8:16189 - Link

Craven GB, Affron DP, Allen CE, Matthies S, Greener JG, Morgan RML, Tate EW, Armstrong A and Mann DJ. High-Throughput Kinetic Analysis for Target-Directed Covalent Ligand Discovery, Angewandte Chemie International Edition (2018) 57 - Link

Greener JG and Sternberg MJE. Structure-based prediction of protein allostery, Current Opinion in Structural Biology (2018) 50, 1-8 - Link

Greener JG, Filippis I and Sternberg MJE. Predicting protein dynamics and allostery using multi-protein atomic distance constraints, Structure (2017) 25, 546-558 - Link

Greener JG and Sternberg MJE. AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis, BMC Bioinformatics (2015) 16:335 - Link - Website


Warren DeLano Structural Bioinformatics and Computational Biophysics Award for best presentation at 3DSIG 2016.

Prize for highest mark in MSc class (2014).

Runner-up prize for best presentation at Imperial College London Department of Life Sciences Research Day (2017).


2014-2017 - Imperial College London - PhD in Structural Bioinformatics - Funded by BBSRC

2013-2014 - Imperial College London - MSc Bioinformatics and Theoretical Systems Biology - Funded by BBSRC - Distinction

2009-2013 - Emmanuel College, University of Cambridge - MSci and BA Hons Natural Sciences (Chemistry) - 2.1 classification in all years

Experience and skills


Email: j.greener at