# InterPro: the protein sequence classification resource in 2025

“InterPro: the protein sequence classification resource in 2025” (2024), by Matthias Blum et al. Genetics and Biochemistry research paper. Original abstract below, unchanged. A free PDF is available.

- Authors: Matthias Blum, Antonina E. Andreeva, Laise Cavalcanti Florentino, Sara Chuguransky, Tiago Grego, Emma Hobbs, Beatriz Lazaro Pinto, Ailsa Orr, Typhaine Paysan‐Lafosse, Irina Ponamareva et al.
- Published: October 23, 2024
- Field: Genetics and Biochemistry
- DOI: https://doi.org/10.1093/nar/gkae1082
- Free PDF: https://discovery.ucl.ac.uk/id/eprint/10200737/1/InterPro.pdf

## Abstract

InterPro (https://www.ebi.ac.uk/interpro) is a freely accessible resource for the classification of protein sequences into families. It integrates predictive models, known as signatures, from multiple member databases to classify sequences into families and predict the presence of domains and significant sites. The InterPro database provides annotations for over 200 million sequences, ensuring extensive coverage of UniProtKB, the standard repository of protein sequences, and includes mappings to several other major resources, such as Gene Ontology (GO), Protein Data Bank in Europe (PDBe) and the AlphaFold Protein Structure Database. In this publication, we report on the status of InterPro (version 101.0), detailing new developments in the database, associated web interface and software. Notable updates include the increased integration of structures predicted by AlphaFold and the enhanced description of protein families using artificial intelligence. Over the past two years, more than 5000 new InterPro entries have been created. The InterPro website now offers access to 85 000 protein families and domains from its member databases and serves as a long-term archive for retired databases. InterPro data, software and tools are freely available.

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