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Items: 7

1.

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

Greener JG, Kandathil SM, Jones DT.

Nat Commun. 2019 Sep 4;10(1):3977. doi: 10.1038/s41467-019-11994-0.

2.

Prediction of interresidue contacts with DeepMetaPSICOV in CASP13.

Kandathil SM, Greener JG, Jones DT.

Proteins. 2019 Jul 12. doi: 10.1002/prot.25779. [Epub ahead of print]

PMID:
31298436
3.

Design of metalloproteins and novel protein folds using variational autoencoders.

Greener JG, Moffat L, Jones DT.

Sci Rep. 2018 Nov 1;8(1):16189. doi: 10.1038/s41598-018-34533-1.

4.

High-Throughput Kinetic Analysis for Target-Directed Covalent Ligand Discovery.

Craven GB, Affron DP, Allen CE, Matthies S, Greener JG, Morgan RML, Tate EW, Armstrong A, Mann DJ.

Angew Chem Int Ed Engl. 2018 May 4;57(19):5257-5261. doi: 10.1002/anie.201711825. Epub 2018 Mar 26.

5.

Structure-based prediction of protein allostery.

Greener JG, Sternberg MJ.

Curr Opin Struct Biol. 2018 Jun;50:1-8. doi: 10.1016/j.sbi.2017.10.002. Epub 2017 Nov 5. Review.

6.

Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints.

Greener JG, Filippis I, Sternberg MJE.

Structure. 2017 Mar 7;25(3):546-558. doi: 10.1016/j.str.2017.01.008. Epub 2017 Feb 9.

7.

AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis.

Greener JG, Sternberg MJ.

BMC Bioinformatics. 2015 Oct 23;16:335. doi: 10.1186/s12859-015-0771-1.

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