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

Jennifer Fleming(European Bioinformatics Institute), Paulyna Magaña(European Bioinformatics Institute), Sreenath Nair(European Bioinformatics Institute), Maxim Tsenkov(European Bioinformatics Institute), Damian Bertoni(European Bioinformatics Institute), Ivanna Pidruchna(European Bioinformatics Institute), Marcelo Querino Lima Afonso(European Bioinformatics Institute), Adam Midlik(European Bioinformatics Institute), Urmila Paramval(European Bioinformatics Institute), Augustin Žídek(Google DeepMind (United Kingdom)), Agata Laydon(Google DeepMind (United Kingdom)), Oleg Kovalevskiy(Google DeepMind (United Kingdom)), Joshua Pan(Google DeepMind (United Kingdom)), Jun Cheng(Google DeepMind (United Kingdom)), Žiga Avsec(Google DeepMind (United Kingdom)), Clare Bycroft(Google DeepMind (United Kingdom)), Lai Hong Wong(Google DeepMind (United Kingdom)), Meera Last(Google DeepMind (United Kingdom)), Milot Mirdita(Seoul National University), Martin Steinegger(Institute of Molecular Biology), Pushmeet Kohli(Google DeepMind (United Kingdom)), Mihály Váradi(European Bioinformatics Institute), Sameer Velankar(European Bioinformatics Institute)
Journal of Molecular Biology
January 29, 2025
Cited by 168Open Access
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Abstract

• AlphaMissense scores now integrated, enabling large-scale pathogenicity analysis of protein missense variants. • Foldseek added for rapid, accurate protein structure searches and comparisons. • Bulk data downloads introduced for enhanced analysis and workflow integration. • 3D-Beacons updates include AlphaMissense annotations and LevyLab’s homomeric models. • Training modules in "AlphaFold: A Practical Guide" enhance PDBe resources. 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.


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