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The AlphaFold database of protein structures: a biologist’s guide

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Title: The AlphaFold database of protein structures: a biologist’s guide
Authors: David, A
Islam, S
Tankhilevich, E
JE Sternberg, M
Item 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.
Issue Date: 29-Oct-2021
Date of Acceptance: 26-Oct-2021
URI: http://hdl.handle.net/10044/1/92411
DOI: 10.1016/j.jmb.2021.167336
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.
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 218242/Z/19/Z
Keywords: 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
Online Publication Date: 2021-10-29
Appears in Collections:Faculty of Natural Sciences



This item is licensed under a Creative Commons License Creative Commons