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John Jumper
John Jumper
DeepMind
E-mailová adresa ověřena na: google.com
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Citace
Citace
Rok
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
221352021
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
43232022
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
30472020
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
20302021
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
20242010
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
16602021
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
5282021
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
3982012
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
3282019
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
2702021
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
2332023
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
2042017
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
1512020
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
1452018
Protein structure predictions to atomic accuracy with AlphaFold
J Jumper, D Hassabis
Nature methods 19 (1), 11-12, 2022
1432022
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
1182014
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
1152023
Highly accurate protein structure prediction with AlphaFold., 2021, 596
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
DOI: https://doi. org/10.1038/s41586-021-03819-2, 583-589, 0
98
AlphaFold 2
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020
762020
861 Tunyasuvunakool
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger
K., Bates, R., Žídek, A., Potapenko, A., et al 862, 2021
532021
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Články 1–20