EMDB: dealing with the cryo-EM data deluge
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AI plain-English summaryCryo-electron microscopes are generating data faster than the world’s sole archive for their 3D reconstructions can handle. The Electron Microscopy Data Bank (EMDB), run by EMBL-EBI and international partners, stores the 3D structures of molecules and cells captured by cryo-EM—a technique that won the 2017 Nobel Prize in Chemistry. As new improvements like phase plates and robotics accelerate data production, the archive faces a deluge of larger, more complex files. Without upgrades, researchers could lose access to validated, searchable data that underpins discoveries in structural biology. This project will expand EMDB’s capacity to handle growing volume and diversity. It will enrich entries with biological annotations using crowd-sourcing and machine learning, develop validation tools to ensure data quality, and build better web resources for searching and visualising structures. These improvements will also help other bioinformatics databases integrate EMDB data. If successful, the work will keep a critical piece of scientific infrastructure running smoothly. It will not change daily life directly, but it will ensure that the fundamental science of molecular structure—which has already enabled drug design and vaccine development—continues to rely on a robust, accessible archive.
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