Jumper et al., Nature 2021

E200555
research paper scientific article

"Jumper et al., Nature 2021" is the landmark research paper that introduced DeepMind’s AlphaFold system, demonstrating highly accurate computational prediction of protein 3D structures and transforming structural biology.

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Jumper et al., Nature 2021 canonical 1

Statements (53)

Predicate Object
instanceOf research paper ⓘ
scientific article ⓘ
affiliatedWith DeepMind ⓘ
demonstrates high-accuracy prediction of protein 3D structures from amino acid sequences ⓘ
describes AlphaFold ⓘ
surface form: AlphaFold2
fieldOfStudy computational biology ⓘ
machine learning ⓘ
structural biology ⓘ
hasAuthor Alex Bridgland ⓘ
Alexander Pritzel ⓘ
Andrew Cowie ⓘ
Andrew J. Ballard ⓘ
Andrew W. Senior ⓘ
Anna Potapenko ⓘ
Augustin Žídek ⓘ
Bernhard Romera-Paredes ⓘ
Clemens Meyer ⓘ
David Reiman ⓘ
David Silver ⓘ
Demis Hassabis ⓘ
Ellen Clancy ⓘ
John Jumper ⓘ
Jon Adler ⓘ
Kathryn Tunyasuvunakool ⓘ
Koray Kavukcuoglu ⓘ
Martin Steinegger ⓘ
Michael Figurnov ⓘ
Michal Zielinski ⓘ
Mona Pacholska ⓘ
Olaf Ronneberger ⓘ
Oriol Vinyals ⓘ
Richard Evans ⓘ
Rishub Jain ⓘ
Russ Bates ⓘ
Sebastian Bodenstein ⓘ
Simon A. A. Kohl ⓘ
Stanislav Nikolov ⓘ
Stig Petersen ⓘ
Tamas Berghammer ⓘ
Tim Green ⓘ
Trevor Back ⓘ
hasCorrespondingAuthor Demis Hassabis ⓘ
John Jumper ⓘ
hasDOI 10.1038/s41586-021-03819-2 ⓘ
hasFirstAuthor John Jumper ⓘ
impact transformed structural biology by enabling routine in silico protein structure prediction ⓘ
mainSubject AlphaFold ⓘ
protein structure prediction ⓘ
publicationYear 2021 ⓘ
publishedBy Nature Publishing Group ⓘ
publishedIn Nature ⓘ
reportsResultOn CASP14 ⓘ
title Highly accurate protein structure prediction with AlphaFold ⓘ

Referenced by (1)

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AlphaFold → citation → Jumper et al., Nature 2021 ⓘ