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 | 32824 | 2021 |
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 | 3559 | 2020 |
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature 630 (8016), 493-500, 2024 | 3053 | 2024 |
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 | 2741 | 2021 |
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 | 2581 | 2021 |
Deep reinforcement learning in large discrete action spaces G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ... arXiv preprint arXiv:1512.07679, 2015 | 797 | 2015 |
The UK‐PBC risk scores: derivation and validation of a scoring system for long‐term prediction of end‐stage liver disease in primary biliary cholangitis M Carbone, SJ Sharp, S Flack, D Paximadas, K Spiess, C Adgey, ... Hepatology 63 (3), 930-950, 2016 | 398 | 2016 |
Results of the National Institute of Allergy and Infectious Diseases Collaborative Clinical Trial to test the predictive value of skin testing with major and minor penicillin … DD Sogn, R Evans, GM Shepherd, TB Casale, J Condemi, ... Archives of internal medicine 152 (5), 1025-1032, 1992 | 385 | 1992 |
Software agents: A review S Green, L Hurst, B Nangle, P Cunningham, F Somers, R Evans Department of Computer Science, Trinity College Dublin, Tech. Rep. TCS-CS …, 1997 | 381 | 1997 |
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 | 369 | 2021 |
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 | 359 | 2019 |
International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways HJ Cordell, Y Han, GF Mells, Y Li, GM Hirschfield, CS Greene, G Xie, ... Nature communications 6 (1), 8019, 2015 | 328 | 2015 |
Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals P Mirowski, KW Mathewson, J Pittman, R Evans Proceedings of the 2023 CHI conference on human factors in computing systems …, 2023 | 250 | 2023 |
Flagship projects in urban regeneration F Bianchini, J Dawson, R Evans Rebuilding the city: Property-led urban regeneration, 245-255, 1992 | 233 | 1992 |
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 | 207* | 2020 |
Deepmind ai reduces google data centre cooling bill by 40% R Evans, J Gao DeepMind blog 20, 158, 2016 | 194 | 2016 |
State of the English cities M Parkinson, T Champion, R Evans, J Simmie, I Turok, M Cookston, ... Newcastle University, 2006 | 194 | 2006 |
Map of bird sensitivities to wind farms in Scotland: a tool to aid planning and conservation J Bright, R Langston, R Bullman, R Evans, S Gardner, J Pearce-Higgins Biological Conservation 141 (9), 2342-2356, 2008 | 189 | 2008 |
A new, fully automatic version of Mitkov’s knowledge-poor pronoun resolution method R Mitkov, R Evans, C Orasan Computational Linguistics and Intelligent Text Processing: Third …, 2002 | 183 | 2002 |
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 | 165 | |