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Exploring new applications of amino acid covariation analysis in modelling proteins and their complexes

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Publications

High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features

Author(s): David T Jones, Shaun M Kandathil
Published in: Bioinformatics, Issue Volume 34, Issue 19, 2018, Page(s) 3308-3315, ISSN 1367-4803
DOI: 10.1093/bioinformatics/bty341

Design of metalloproteins and novel protein folds using variational autoencoders

Author(s): Joe G. Greener, Lewis Moffat, David T Jones
Published in: Scientific Reports, Issue 8/1, 2018, ISSN 2045-2322
DOI: 10.1038/s41598-018-34533-1

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints

Author(s): Joe G. Greener, Shaun M. Kandathil, David T. Jones
Published in: Nature Communications, Issue 10/1, 2019, ISSN 2041-1723
DOI: 10.1038/s41467-019-11994-0

Prediction of interresidue contacts with DeepMetaPSICOV in CASP13

Author(s): Shaun M. Kandathil, Joe G. Greener, David T. Jones
Published in: Proteins: Structure, Function, and Bioinformatics, Issue 87/12, 2019, Page(s) 1092-1099, ISSN 0887-3585
DOI: 10.1002/prot.25779

Recent developments in deep learning applied to protein structure prediction

Author(s): Shaun M. Kandathil, Joe G. Greener, David T. Jones
Published in: Proteins: Structure, Function, and Bioinformatics, Issue 87/12, 2019, Page(s) 1179-1189, ISSN 0887-3585
DOI: 10.1002/prot.25824