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AlphaFold Protein Structure Database and 3D-Beacons: New Data and Capabilities

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Authors

Fleming, Jennifer; Magana, Paulyna; Nair, Sreenath; Tsenkov, Maxim; Bertoni, Damian; Pidruchna, Ivanna; Lima Afonso, Marcelo Querino; Midlik, Adam; Paramval, Urmila; Žídek, Augustin; Laydon, Agata; Kovalevskiy, Oleg; Pan, Joshua; Cheng, Jun; Avsec, Žiga; Bycroft, Clare; Wong, Lai Hong; Last, Meera; Mirdita, Milot; Steinegger, Martin; Kohli, Pushmeet; Váradi, Mihály; Velankar, Sameer

Issue Date
2025-08
Publisher
Academic Press
Citation
Journal of Molecular Biology, Vol.437 No.15, p. 168967
Abstract
The AlphaFold Protein Structure Database (https://alphafold.ebi.ac.uk/) has made significant strides in enhancing its utility and accessibility for the life science research community. The recent integration of AlphaMissense predictions enables access to the pathogenicity of human protein missense variants, with an innovative and interactive heatmap and 3D visualisation that display variant data at the residue level. Users can now toggle between structure model quality (pLDDT) and average pathogenicity scores, providing insights into the implications of specific residue changes. The Foldseek integration offers a rapid and accurate method for protein structure searches and comparisons. Bulk data download options further facilitate comprehensive data analysis and integration with other computational tools. The 3D-Beacons framework (https://www.ebi.ac.uk/pdbe/pdbe-kb/3dbeacons/) has also been enhanced with detailed annotation endpoints (such as AlphaMissense data) and integrates LevyLab's dataset of homomeric AlphaFold 2 models. These advancements significantly improve the functionality and accessibility of these resources, enabling discoveries using structure data.
ISSN
0022-2836
URI
https://hdl.handle.net/10371/218359
DOI
https://doi.org/10.1016/j.jmb.2025.168967
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Development of algorithms to search, cluster and assemble sequence data, Metagenomic analysis, Pathogen detection in sequencing data

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