The Molecular INTeraction Database (MINT) is a public repository for protein-protein interactions (PPIs) from peer-reviewed journals. As of September 2011, MINT contains approximately 235,000 binary interactions from over 4,750 publications. The database is part of the International Molecular Exchange consortium (IMEx) and follows the Molecular Interaction Ontology (PSI-MI) standards for curation and data exchange. MINT offers a web interface for searching, visualizing, and downloading interaction data. The database has grown steadily, with an average of 4,000 queries per month and thousands of PPI records downloaded annually. MINT supports interactions between proteins from over 30 species. The database has implemented a Structured Digital Abstract (SDA) to facilitate automatic retrieval of interaction information and maintains a human-readable structure. MINT's curation policy adheres to the IMEx standards, ensuring rich experimental details and controlled vocabularies. A new scoring system has been introduced to estimate the reliability of interactions, incorporating community recognition and trust. MINT is committed to extending the PSI-MI 2.5 XML format to capture more complex interaction information and is exploring the use of text mining methods for automatic PPI extraction.The Molecular INTeraction Database (MINT) is a public repository for protein-protein interactions (PPIs) from peer-reviewed journals. As of September 2011, MINT contains approximately 235,000 binary interactions from over 4,750 publications. The database is part of the International Molecular Exchange consortium (IMEx) and follows the Molecular Interaction Ontology (PSI-MI) standards for curation and data exchange. MINT offers a web interface for searching, visualizing, and downloading interaction data. The database has grown steadily, with an average of 4,000 queries per month and thousands of PPI records downloaded annually. MINT supports interactions between proteins from over 30 species. The database has implemented a Structured Digital Abstract (SDA) to facilitate automatic retrieval of interaction information and maintains a human-readable structure. MINT's curation policy adheres to the IMEx standards, ensuring rich experimental details and controlled vocabularies. A new scoring system has been introduced to estimate the reliability of interactions, incorporating community recognition and trust. MINT is committed to extending the PSI-MI 2.5 XML format to capture more complex interaction information and is exploring the use of text mining methods for automatic PPI extraction.