202 citations · 351 across the 3 of their papers we have counts for
4 papers
Julia for Biologists
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean +4
Increasing emphasis on data and quantitative methods in the biomedical sciences is making biological research more computational. Collecting, curating, processing, and analysing la…
Near-complete protein structural modelling of the minimal genome
Joe G Greener, Nikita Desai, Shaun M Kandathil +1
Protein tertiary structure prediction has improved dramatically in recent years. A considerable fraction of various proteomes can be modelled in the absence of structural templates…
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
Joe G Greener, Shaun M Kandathil, David T Jones
The inapplicability of amino acid covariation methods to small protein families has limited their use for structural annotation of whole genomes. Recently, deep learning has shown…
Design of metalloproteins and novel protein folds using variational autoencoders
Joe G Greener, Lewis Moffat, David T Jones
The design of novel proteins has many applications but remains an attritional process with success in isolated cases. Meanwhile, deep learning technologies have exploded in popular…