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 | 29485 | 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 | 5727 | 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, 1-5, 2020 | 3410 | 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 | 2394 | 2021 |
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, 2022 | 2331 | 2022 |
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature, 1-3, 2024 | 1519 | 2024 |
Protein structure prediction using multiple deep neural networks in CASP13 AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ... Proteins: Structure, Function, and Bioinformatics, 2019 | 345 | 2019 |
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 | 337 | 2021 |
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences M Varadi, D Bertoni, P Magana, U Paramval, I Pidruchna, ... Nucleic Acids Research 52 (D1), D368-D375, 2024 | 304 | 2024 |
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement A Barreto, D Borsa, J Quan, T Schaul, D Silver, M Hessel, D Mankowitz, ... International Conference on Machine Learning, 510-519, 2018 | 207 | 2018 |
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 | 157 | 2020 |
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 | 154 | 2018 |
Kickstarting Deep Reinforcement Learning S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ... arXiv preprint arXiv:1803.03835, 2018 | 152 | 2018 |
Unicorn: Continual Learning with a Universal, Off-policy Agent DJ Mankowitz, A Žídek, A Barreto, D Horgan, M Hessel, J Quan, J Oh, ... arXiv preprint arXiv:1802.08294, 2018 | 50 | 2018 |
Bellrock: Anonymous Proximity Beacons From Personal Devices A Zidek, S Tailor, R Harle 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018 | 18 | 2018 |
ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models B Vallat, G Tauriello, S Bienert, J Haas, BM Webb, A Žídek, W Zheng, ... Journal of Molecular Biology, 168021, 2023 | 14 | 2023 |
3D-Beacons: Decreasing the gap between protein sequences and structures through a federated network of protein structure data resources M Varadi, S Nair, I Sillitoe, G Tauriello, S Anyango, S Bienert, C Borges, ... GigaScience 11, 2022 | 14 | 2022 |
Bellrock–your phone as an anonymous BLE beacon A Zidek | 1 | 2016 |
Language Identification L101 Project A Zidek | | 2016 |
Automatic Generation of Mind Maps from Essays A Zidek | | 2015 |