The impact of AlphaFold Protein Structure Database on the fields of life sciences

Arguably, 2020 was the year of high‐accuracy protein structure predictions, with AlphaFold 2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure Prediction (CASP). In 2021, DeepMind and EMBL‐EBI developed the AlphaFold Protein Structure Database to make an unpreced...

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Bibliographic Details
Published in:Proteomics (Weinheim) 2023-09, Vol.23 (17), p.e2200128-n/a
Main Authors: Varadi, Mihaly, Velankar, Sameer
Format: Article
Language:English
Subjects:
AlphaFold
Bioinformatics
Predictions
Protein structure
protein structure prediction
Proteins
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Summary:Arguably, 2020 was the year of high‐accuracy protein structure predictions, with AlphaFold 2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure Prediction (CASP). In 2021, DeepMind and EMBL‐EBI developed the AlphaFold Protein Structure Database to make an unprecedented number of reliable protein structure predictions easily accessible to the broad scientific community. We provide a brief overview and describe the latest developments in the AlphaFold database. We highlight how the fields of data services, bioinformatics, structural biology, and drug discovery are directly affected by the influx of protein structure data. We also show examples of cutting‐edge research that took advantage of the AlphaFold database. It is apparent that connections between various fields through protein structures are now possible, but the amount of data poses new challenges. Finally, we give an outlook regarding the future direction of the database, both in terms of data sets and new functionalities.
ISSN:1615-9853
1615-9861
DOI:10.1002/pmic.202200128