Related Experiment Video
Updated: Jun 7, 2025
09:37
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
3.3K
InterPro: the protein sequence classification resource in 2025
Matthias Blum1, Antonina Andreeva1, Laise Cavalcanti Florentino1
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.
Nucleic Acids Research
|November 20, 2024
Summary
InterPro, a protein sequence classification resource, now integrates more AlphaFold structures and uses AI for protein family descriptions. This update enhances its utility for biological research and data analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Protein Science
Background:
- InterPro is a vital resource for classifying protein sequences into families.
- It integrates predictive models (signatures) from multiple databases.
- InterPro annotates over 200 million sequences, covering UniProtKB extensively.
Purpose of the Study:
- To report on the status and recent developments of the InterPro database (version 101.0).
- To highlight new features in the database, web interface, and software.
- To showcase advancements in protein family classification and domain prediction.
Main Methods:
- Integration of predictive models from various member databases.
- Annotation of protein sequences against InterPro entries.
- Inclusion of mappings to external resources like Gene Ontology and AlphaFold.
Main Results:
- InterPro version 101.0 details significant updates and developments.
- Increased integration of AlphaFold-predicted protein structures.
- Enhanced protein family descriptions utilizing artificial intelligence.
- Creation of over 5000 new InterPro entries in the past two years.
- Access to 85,000 protein families and domains, with archival support for retired databases.
Conclusions:
- InterPro continues to evolve as a comprehensive resource for protein sequence classification.
- Recent updates improve the understanding and analysis of protein families and structures.
- The freely available data, software, and tools support diverse biological research endeavors.
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