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

Publications

Peer reviewed articles (5)

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