Cited by 505Protein Structure and DynamicsEnzyme Structure and FunctionMachine Learning in Bioinformatics

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‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

Callaway, Ewen·2020·Nature

DOI 10.1038/d41586-020-03348-4

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“…interface: New challenges and insights into protein design The biophysical foundations of protein folding (Dill and MacCallum, 2012) still remain largely unexplained despite the many years of intensive experimental (Dobson, 2004) and computational research (Callaway, 2020; Jumper et al., 2021).”
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Authors: Callaway, E.
Corresponding author: Callaway, Ewen
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2020-11-30
Volume: 588
Issue: 7837
Pages: 203-204
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/d41586-020-03348-4
OpenAlex: W3108943181
Cited by: 499
References: 0
Citations by year: 2026: 15 · 2025: 39 · 2024: 77 · 2023: 87 · 2022: 97 · 2021: 181 · 2020: 2
Type: other
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
Keywords: DeepMind, AlphaFold, protein structure prediction, protein 3D structure, deep learning, artificial intelligence in biology, protein folding
MeSH terms: Deep Learning, Models, Molecular, Protein Conformation, Proteins, Time Factors, Crystallography, X-Ray, Caspases

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