Standout Papers

Improved protein structure prediction using potentials from deep learning 2019 2026 2021 2023 1.9k
  1. Improved protein structure prediction using potentials from deep learning (2020)
    Andrew Senior, K Taki et al. Nature
  2. Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019)
    Andrew Senior, K Taki et al. Proteins Structure Function and Bioinformatics

Immediate Impact

14 by Nobel laureates 36 from Science/Nature 66 standout
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Citing Papers

Mass-spectrometry-based proteomics: from single cells to clinical applications
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2 intermediate papers

Works of Augustin Žídek being referenced

Improved protein structure prediction using potentials from deep learning
2020 StandoutNatureNobel

Author Peers

Author Last Decade Papers Cites
Augustin Žídek 1352 504 234 375 3 2.1k
Alex Bridgland 1351 504 220 374 2 2.1k
Hugo Penedones 1351 504 224 376 4 2.1k
Chongli Qin 1382 506 248 375 6 2.1k
Alexander Nelson 1387 800 249 435 7 2.5k
Salvatore Candido 1411 244 137 309 10 1.9k
Jessica Vamathevan 1004 382 181 763 17 2.1k
Tim Green 1773 638 413 406 18 3.1k
Tom Sercu 2543 361 152 521 10 2.9k
Joe G. Greener 933 229 137 242 18 1.7k
Siddharth Goyal 1169 604 153 365 15 2.3k

All Works

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2026