Journal of Molecular Biology · 2025 · 199 citations · 34 references
Life SciencesBioinformaticsBiologyProtein Structure PredictionStructural BioinformaticsStructural BiologyProtein Sequence AnalysisProtein StructureProtein Structure ModelingStructural GenomicsStructural ProteomicsBulk Data IngestionBulk Data TransferLife Science IntegrationMissense MutationsProtein Sequence Database ConstructionProtein Structure ComparisonStructural Bioinformatics DatabasesVariant Data Integration
• 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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Highly accurate protein structure prediction with AlphaFold
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