AlphaFold and the future of structural biology

Randy J. Read; Edward N. Baker; Charles S. Bond; Elspeth F. Garman; Mark J. van Raaij

doi:10.1107/S2053230X23004934

AlphaFold and the future of structural biology

Randy J. Read, Edward N. Baker, Charles S. Bond, Elspeth F. Garman, Mark J. van Raaij

School of Molecular Sciences

Research output: Contribution to journal › Editorial › peer-review

Abstract

This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.

Original language	English
Pages (from-to)	166-168
Number of pages	3
Journal	Acta crystallographica. Section F, Structural biology communications
Volume	79
DOIs	https://doi.org/10.1107/S2053230X23004934
Publication status	Published - 26 Jun 2023

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10.1107/S2053230X23004934

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327576/

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title = "AlphaFold and the future of structural biology",

abstract = "This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.",

keywords = "AlphaFold, cryo-EM, crystallography, protein structure prediction",

author = "Read, {Randy J.} and Baker, {Edward N.} and Bond, {Charles S.} and Garman, {Elspeth F.} and {van Raaij}, {Mark J.}",

year = "2023",

month = jun,

day = "26",

doi = "10.1107/S2053230X23004934",

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journal = "Acta crystallographica. Section F, Structural biology communications",

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AU - Read, Randy J.

AU - Baker, Edward N.

AU - Bond, Charles S.

AU - Garman, Elspeth F.

AU - van Raaij, Mark J.

PY - 2023/6/26

Y1 - 2023/6/26

N2 - This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.

AB - This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.

KW - AlphaFold

KW - cryo-EM

KW - crystallography

KW - protein structure prediction

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U2 - 10.1107/S2053230X23004934

DO - 10.1107/S2053230X23004934

M3 - Editorial

C2 - 37358500

AN - SCOPUS:85164262944

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SP - 166

EP - 168

JO - Acta crystallographica. Section F, Structural biology communications

JF - Acta crystallographica. Section F, Structural biology communications

ER -

AlphaFold and the future of structural biology

Abstract

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