| 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 | 23293 | 2021 |
| 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 | 4560 | 2022 |
| 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 | 3102 | 2020 |
| 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 | 2103 | 2021 |
| 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 | 2037 | 2010 |
| 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 | 1768 | 2021 |
| 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 | 560 | 2021 |
| 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 | 402 | 2012 |
| 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 | 333 | 2019 |
| 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 | 302 | 2023 |
| 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 | 283 | 2021 |
| 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 | 207 | 2017 |
| 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 | 154 | 2020 |
| Protein structure predictions to atomic accuracy with AlphaFold J Jumper, D Hassabis Nature methods 19 (1), 11-12, 2022 | 153 | 2022 |
| 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 | 150 | 2018 |
| 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 | 135 | 2023 |
| 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 | 118 | 2014 |
| 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 | 101 | |
| AlphaFold 2 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020 | 77 | 2020 |
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