The UniProt Consortium has updated its database to include over 227 million protein sequences, with a focus on improving data quality, expanding coverage, and enhancing user access. The database now includes reference proteomes for each taxonomic group and integrates data from various sources to provide a comprehensive resource for protein information. The new website offers improved search capabilities, interactive visualizations, and access to AlphaFold structures for over 85% of entries. The database continues to rely on expert curation and automated annotation methods, including machine learning, to ensure high-quality annotations. The UniProtKB/Swiss-Prot database contains experimentally verified functional information, while UniProtKB/TrEMBL includes unreviewed entries annotated by automated systems. The database also includes annotations for small molecule ligands, enzyme functions, and post-translational modifications. The UniProt Consortium has developed new tools and interfaces to improve data accessibility and user experience, including a new API and a responsive design for better mobile access. The database continues to integrate data from external sources, including community contributions, and provides a central hub for protein-related information. The UniProt Consortium is committed to maintaining high-quality data and improving the annotation of uncharacterized proteins through collaboration with the machine learning community. The database is updated every eight weeks and is accessible via a variety of formats and APIs. The UniProt Consortium acknowledges the contributions of the scientific community and encourages users to provide feedback and suggestions. The database is supported by various funding sources and is a key resource for researchers in the field of proteomics.The UniProt Consortium has updated its database to include over 227 million protein sequences, with a focus on improving data quality, expanding coverage, and enhancing user access. The database now includes reference proteomes for each taxonomic group and integrates data from various sources to provide a comprehensive resource for protein information. The new website offers improved search capabilities, interactive visualizations, and access to AlphaFold structures for over 85% of entries. The database continues to rely on expert curation and automated annotation methods, including machine learning, to ensure high-quality annotations. The UniProtKB/Swiss-Prot database contains experimentally verified functional information, while UniProtKB/TrEMBL includes unreviewed entries annotated by automated systems. The database also includes annotations for small molecule ligands, enzyme functions, and post-translational modifications. The UniProt Consortium has developed new tools and interfaces to improve data accessibility and user experience, including a new API and a responsive design for better mobile access. The database continues to integrate data from external sources, including community contributions, and provides a central hub for protein-related information. The UniProt Consortium is committed to maintaining high-quality data and improving the annotation of uncharacterized proteins through collaboration with the machine learning community. The database is updated every eight weeks and is accessible via a variety of formats and APIs. The UniProt Consortium acknowledges the contributions of the scientific community and encourages users to provide feedback and suggestions. The database is supported by various funding sources and is a key resource for researchers in the field of proteomics.