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John Jumper
John Jumper
DeepMind
Verified email at google.com
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Cited by
Year
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
169042021
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
M Varadi, S Anyango, M Deshpande, S Nair, C Natassia, G Yordanova, ...
Nucleic acids research 50 (D1), D439-D444, 2022
31882022
Improved protein structure prediction using potentials from deep learning
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
Nature 577 (7792), 706-710, 2020
27142020
Atomic-level characterization of the structural dynamics of proteins
DE Shaw, P Maragakis, K Lindorff-Larsen, S Piana, RO Dror, ...
Science 330 (6002), 341-346, 2010
19452010
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
17082021
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
11922021
Effective gene expression prediction from sequence by integrating long-range interactions
Ž Avsec, V Agarwal, D Visentin, JR Ledsam, A Grabska-Barwinska, ...
Nature methods 18 (10), 1196-1203, 2021
3902021
Oncogenic mutations counteract intrinsic disorder in the EGFR kinase and promote receptor dimerization
Y Shan, MP Eastwood, X Zhang, ET Kim, A Arkhipov, RO Dror, J Jumper, ...
Cell 149 (4), 860-870, 2012
3862012
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
Proteins: structure, function, and bioinformatics 87 (12), 1141-1148, 2019
3002019
Applying and improving AlphaFold at CASP14
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021
2132021
Innovative scattering analysis shows that hydrophobic disordered proteins are expanded in water
JA Riback, MA Bowman, AM Zmyslowski, CR Knoverek, JM Jumper, ...
Science 358 (6360), 238-241, 2017
1872017
High accuracy protein structure prediction using deep learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth critical assessment of techniques for protein structure …, 2020
1432020
De novo structure prediction with deeplearning based scoring
R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, A Zidek, ...
Annu Rev Biochem 77 (363-382), 6, 2018
1392018
Protein structure predictions to atomic accuracy with AlphaFold
J Jumper, D Hassabis
Nature methods 19 (1), 11-12, 2022
1182022
Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations
MC Baxa, EJ Haddadian, JM Jumper, KF Freed, TR Sosnick
Proceedings of the National Academy of Sciences 111 (43), 15396-15401, 2014
1152014
Tunyasuvuna ool
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger
Bates, R., Zidek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, SAA …, 2021
542021
Free-standing kinked silicon nanowires for probing inter-and intracellular force dynamics
JF Zimmerman, GF Murray, Y Wang, JM Jumper, JR Austin, B Tian
Nano letters 15 (8), 5492-5498, 2015
512015
Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours
JM Jumper, NF Faruk, KF Freed, TR Sosnick
PLoS computational biology 14 (12), e1006578, 2018
402018
Accelerating large language model decoding with speculative sampling
C Chen, S Borgeaud, G Irving, JB Lespiau, L Sifre, J Jumper
arXiv preprint arXiv:2302.01318, 2023
382023
Accurate proteome-wide missense variant effect prediction with AlphaMissense
J Cheng, G Novati, J Pan, C Bycroft, A Žemgulytė, T Applebaum, A Pritzel, ...
Science 381 (6664), eadg7492, 2023
362023
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