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Updated: Apr 20, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
The InterPro protein families database: the classification resource after 15 years
Alex Mitchell1, Hsin-Yu Chang1, Louise Daugherty1
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
The InterPro database integrates protein family signatures to classify sequences and predict domains. Recent updates include a new domain architecture search and Gene Ontology mapping, enhancing its utility for bioinformatics research.
Area of Science:
- Bioinformatics
- Computational Biology
- Proteomics
Background:
- The InterPro database is a vital resource for protein sequence classification and domain prediction.
- It integrates diverse protein family signatures from multiple databases, leveraging their unique strengths.
- InterPro has been operational for 15 years, continuously evolving to meet research needs.
Purpose of the Study:
- To report on the current status and recent developments of the InterPro database.
- To highlight new features such as the domain architecture search tool and Gene Ontology (GO) term mapping.
- To discuss the challenges posed by the rapid increase in biological sequence data.
Main Methods:
- Integration of member database signatures into a unified InterPro resource.
- Development of predictive models (signatures) for protein family and domain classification.
- Mapping of Gene Ontology terms to InterPro entries for enhanced annotation.
Main Results:
- InterPro version 48.0 includes 36,766 member database signatures within 26,238 InterPro entries.
- This represents a significant increase of 3993 entries and 5081 signatures since 2012.
- New features like the domain architecture search tool and GO mapping have been implemented.
Conclusions:
- InterPro remains a powerful and evolving resource for protein classification and domain analysis.
- Ongoing development addresses the challenges of massive sequence data growth.
- The database continues to enhance its utility through integration and new functional tools.
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