AlphaFold Protein Structure Database and 3D-Beacons: New Data and Capabilities
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.
Authors
- Lai Hong Wong (ORCID: https://orcid.org/0000-0001-8653-2734)
- Oleg Kovalevskiy (ORCID: https://orcid.org/0000-0003-1106-3966)
- Augustin Žídek (ORCID: https://orcid.org/0000-0002-0748-9684)
- Pushmeet Kohli (ORCID: https://orcid.org/0000-0002-7466-7997)
- Milot Mirdita (ORCID: https://orcid.org/0000-0001-8637-6719)
- Martin Steinegger (ORCID: https://orcid.org/0000-0001-8781-9753)
- Sreenath Nair
- Sameer Velankar (ORCID: https://orcid.org/0000-0002-8439-5964)
- Mihály Váradi (ORCID: https://orcid.org/0000-0002-3687-0839)
- Marcelo Querino Lima Afonso (ORCID: https://orcid.org/0000-0002-9966-8187)
- Žiga Avsec (ORCID: https://orcid.org/0000-0002-7790-8936)
- Adam Midlik (ORCID: https://orcid.org/0000-0003-0455-2235)
- Mark Last (ORCID: https://orcid.org/0000-0003-0748-7918)
- Damian Bertoni (ORCID: https://orcid.org/0000-0001-8207-2486)
- Jennifer Fleming (ORCID: https://orcid.org/0000-0003-1009-0225)
- Agata Laydon (ORCID: https://orcid.org/0000-0001-6499-8517)
- Ivanna Pidruchna (ORCID: https://orcid.org/0009-0001-9820-5287)
- Maxim Tsenkov
- Clare Bycroft
- Urmila Paramval (ORCID: https://orcid.org/0009-0001-9221-4596)
- Cheng Jun (ORCID: https://orcid.org/0000-0002-3771-5697)
- Paulyna Magaña (ORCID: https://orcid.org/0009-0004-1524-2966)
- Joshua Pan
Institutions
- European Bioinformatics Institute (GB)
- Seoul National University (KR)
- Google DeepMind (United Kingdom) (GB)
- Google (United Kingdom) (GB)
Publication Details
- Journal
- Journal of Molecular Biology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1016/j.jmb.2025.168967
- Citations
- 100
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 80.60
Funders
- National Research Foundation of Korea
- Biotechnology and Biological Sciences Research Council