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Updated: Mar 27, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Clustering the protein universe of life using DIAMOND DeepClust
Benjamin J Buchfink1, Émile Barbé1, Haim Ashkenazy2
1Computational Biology Group, Max Planck Institute for Biology Tübingen, Tübingen, Germany.
None:
Relating billions of proteins across the tree of life remains a challenging task for comparative biosphere genomics and artificial intelligence-driven structure prediction. Here we present DIAMOND DeepClust, a cascaded, ultra-fast clustering method enabling planetary-scale organization of protein space, scaling to trillions of sequences while retaining sensitivity at low identity. Aggregating 19 billion biosphere proteins into 544 million nonsingleton clusters, we show that using our DeepClust database, available for download, can enhance structure prediction with AlphaFold2.
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