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Joe G Greener

Showing results (11-20 of 18) with videos related to

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Nature Communications|September 6, 2019
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraintsJoe G Greener, Shaun M Kandathil, David T Jones
Proteins|July 13, 2019
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13Shaun M Kandathil, Joe G Greener, David T Jones
Nature Reviews. Molecular Cell Biology|September 14, 2021
A guide to machine learning for biologistsJoe G Greener, Shaun M Kandathil, Lewis Moffat, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 25, 2022
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteinsShaun M Kandathil, Joe G Greener, Andy M Lau, et al.
Nature Methods|April 29, 2023
Author Correction: Julia for biologistsElisabeth Roesch, Joe G Greener, Adam L MacLean, et al.
Nature Methods|April 6, 2023
Julia for biologistsElisabeth Roesch, Joe G Greener, Adam L MacLean, et al.
Protein Science : a Publication of the Protein Society|March 27, 2025
Molecular mechanism of Mad2 conformational conversion promoted by the Mad2-interaction motif of Cdc20Conny W H Yu, Elyse S Fischer, Joe G Greener, et al.
Angewandte Chemie (International Ed. in English)|February 27, 2018
High-Throughput Kinetic Analysis for Target-Directed Covalent Ligand DiscoveryGregory B Craven, Dominic P Affron, Charlotte E Allen, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Nature Communications|September 6, 2019
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraintsJoe G Greener, Shaun M Kandathil, David T Jones
Proteins|July 13, 2019
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13Shaun M Kandathil, Joe G Greener, David T Jones
Nature Reviews. Molecular Cell Biology|September 14, 2021
A guide to machine learning for biologistsJoe G Greener, Shaun M Kandathil, Lewis Moffat, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 25, 2022
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteinsShaun M Kandathil, Joe G Greener, Andy M Lau, et al.
Nature Methods|April 29, 2023
Author Correction: Julia for biologistsElisabeth Roesch, Joe G Greener, Adam L MacLean, et al.
Nature Methods|April 6, 2023
Julia for biologistsElisabeth Roesch, Joe G Greener, Adam L MacLean, et al.
Protein Science : a Publication of the Protein Society|March 27, 2025
Molecular mechanism of Mad2 conformational conversion promoted by the Mad2-interaction motif of Cdc20Conny W H Yu, Elyse S Fischer, Joe G Greener, et al.
Angewandte Chemie (International Ed. in English)|February 27, 2018
High-Throughput Kinetic Analysis for Target-Directed Covalent Ligand DiscoveryGregory B Craven, Dominic P Affron, Charlotte E Allen, et al.
Pageof 2