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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“At the time of this book going to press the basic technology of Alpha Zero has been applied in a new form to the protein folding problem, which appears to have moved a long way toward a solution to a 50 year old scientific grand challenge (Callaway, 2020).”
Background
Analyzing the Geometry and Dynamics of Viral Structures: A Review of Computational Approaches Based on Alpha Shape Theory, Normal Mode Analysis, and Poisson–Boltzmann Theories
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“They are inspiring biologists to rethink the way they study the function and evolution of proteins [41–43].”
Background
Highlights of bioinformatic tools and methods for validating bioinformatics derived hypotheses for microbial natural products research
Bunyat‐zada, A. R., & Ross, A. C. (2023) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2023.102367 · Cited by 7
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“30 The alternative, the RCT, is slow, expensive and cumbersome.”
Background
The brain-computer analogy—“A special issue”
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“…or with human intervention, mainly in fields such as writing, music, and painting (e.g., Zylinska, 2020; Jukebox, https://openai.com/blog/jukebox/), but also in scientific discovery (e.g., protein fold prediction via machine-and deep-learning techniques; see Gil et al., 2014 and Callaway, 2020).”
Background
Protein Engineering in the Design of Protein–Protein Interactions: SARS-CoV-2 Inhibitors as a Test Case
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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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