The Molecular INTeraction database (MINT) is a comprehensive resource for storing and analyzing information about molecular interactions, primarily focusing on physical interactions between proteins. The database has undergone significant revisions over the past four years, adopting the IntAct relational model to enhance data exploration and analysis. As of September 2006, MINT contains over 95,000 curated physical interactions involving 27,461 proteins from 325 organisms. The database is freely accessible online through web-based interfaces and an FTP server, and it includes HomoMINT, a sub-database of human protein interactions inferred from model organisms. MINT uses the Proteomics Standards Initiative-Molecular Interaction (PSI-MI) standards for data representation and quality control, ensuring high-fidelity annotations. The database supports various query methods, including protein names, UniProt keywords, and sequence similarity searches, and provides interactive visualization tools for analyzing interaction networks.The Molecular INTeraction database (MINT) is a comprehensive resource for storing and analyzing information about molecular interactions, primarily focusing on physical interactions between proteins. The database has undergone significant revisions over the past four years, adopting the IntAct relational model to enhance data exploration and analysis. As of September 2006, MINT contains over 95,000 curated physical interactions involving 27,461 proteins from 325 organisms. The database is freely accessible online through web-based interfaces and an FTP server, and it includes HomoMINT, a sub-database of human protein interactions inferred from model organisms. MINT uses the Proteomics Standards Initiative-Molecular Interaction (PSI-MI) standards for data representation and quality control, ensuring high-fidelity annotations. The database supports various query methods, including protein names, UniProt keywords, and sequence similarity searches, and provides interactive visualization tools for analyzing interaction networks.