The AlphaFold database of protein structures: a biologist’s guide
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Published Version
Author(s)
David, Alessia
Islam, Suhail
Tankhilevich, Evgeny
JE Sternberg, Michael
Type
Journal Article
Abstract
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the still unsolved challenges of the AlphaFold models from the perspective of a biologist, who may not be an expert in structural biology.
Date Issued
2021-10-29
Date Acceptance
2021-10-26
Citation
Journal of Molecular Biology, 2021, 434 (2), pp.167336-167336
ISSN
0022-2836
Publisher
Elsevier BV
Start Page
167336
End Page
167336
Journal / Book Title
Journal of Molecular Biology
Volume
434
Issue
2
Copyright Statement
© 2021 The Authors. Published by Elsevier Ltd. Under a Creative Commons license.
License URL
Sponsor
Wellcome Trust
Identifier
https://www.sciencedirect.com/science/article/pii/S0022283621005738?via%3Dihub
Grant Number
218242/Z/19/Z
Subjects
Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
PREDICTION
AlphaFold
human proteome
inter-domain accuracy
three-dimensional model
0304 Medicinal and Biomolecular Chemistry
0601 Biochemistry and Cell Biology
0605 Microbiology
Biochemistry & Molecular Biology
Publication Status
Published online
Article Number
167336
Date Publish Online
2021-10-29