UniProt is a global hub of protein knowledge, providing a comprehensive collection of sequences and annotations for over 120 million proteins across all life forms. The UniProt Knowledgebase (UniProtKB) includes both reviewed (Swiss-Prot) and unreviewed (TrEMBL) entries. Swiss-Prot entries are curated by expert biocurators, while TrEMBL entries are annotated by automated systems. The database has expanded significantly, with over 84,000 species' proteomes now available. The number of Reference Proteomes has increased, with a focus on improving viral Reference Proteomes. The UniProt website now includes new data visualizations for subcellular localization, structure, and interactions. UniProt resources are available under a CC-BY (4.0) license. The UniProt database has grown in size and complexity, with significant improvements in the number of proteomes and the quality of annotations. The database now includes over 84,000 species' proteomes, with many based on genome sequence submissions. Complementary pipelines have been developed to supplement these with genomes sequenced and annotated by other groups. Redundancy removal processes have been implemented to reduce the number of duplicate proteomes, significantly reducing the size of UniProtKB. The number of Reference Proteomes has increased, with a focus on improving viral Reference Proteomes. UniProt's automatic annotation pipelines enrich the unreviewed records in UniProtKB/TrEMBL with classification and functional annotations. InterPro is used to classify sequences and predict functional domains. Two complementary rule-based prediction systems, UniRule and SAAS, are used to automatically annotate UniProtKB/TrEMBL. These systems can annotate protein properties such as function, catalytic activity, and subcellular location. The number of rules used for annotation has increased to over 6000. UniProt has also developed new methods for computational annotation, including DAAC and ARBA, which use domain architecture and association rule mining to improve functional prediction. These methods have been used to generate a large number of functional annotations for UniProt entries. UniProt has also improved its GO annotation system, with GO terms assigned to UniRef clusters based on the presence of GO annotations in the cluster members. The GO annotation system has been used to improve the accuracy of functional annotations for UniProt entries. UniProt has also improved its bibliography system, with additional literature sources added to complement the curated literature set. The bibliography system has been used to improve the accuracy of functional annotations for UniProt entries. UniProt has also improved its website, adding new visualizations for molecular interactions, subcellular localization, and molecular structure. These visualizations help users understand the molecular context of UniProt entries. UniProt continues to develop its processes and procedures to efficiently provide a global collection of protein sequences and annotations. The database has seen significant growth in the number of genomes and protein sequences over the past two yearsUniProt is a global hub of protein knowledge, providing a comprehensive collection of sequences and annotations for over 120 million proteins across all life forms. The UniProt Knowledgebase (UniProtKB) includes both reviewed (Swiss-Prot) and unreviewed (TrEMBL) entries. Swiss-Prot entries are curated by expert biocurators, while TrEMBL entries are annotated by automated systems. The database has expanded significantly, with over 84,000 species' proteomes now available. The number of Reference Proteomes has increased, with a focus on improving viral Reference Proteomes. The UniProt website now includes new data visualizations for subcellular localization, structure, and interactions. UniProt resources are available under a CC-BY (4.0) license. The UniProt database has grown in size and complexity, with significant improvements in the number of proteomes and the quality of annotations. The database now includes over 84,000 species' proteomes, with many based on genome sequence submissions. Complementary pipelines have been developed to supplement these with genomes sequenced and annotated by other groups. Redundancy removal processes have been implemented to reduce the number of duplicate proteomes, significantly reducing the size of UniProtKB. The number of Reference Proteomes has increased, with a focus on improving viral Reference Proteomes. UniProt's automatic annotation pipelines enrich the unreviewed records in UniProtKB/TrEMBL with classification and functional annotations. InterPro is used to classify sequences and predict functional domains. Two complementary rule-based prediction systems, UniRule and SAAS, are used to automatically annotate UniProtKB/TrEMBL. These systems can annotate protein properties such as function, catalytic activity, and subcellular location. The number of rules used for annotation has increased to over 6000. UniProt has also developed new methods for computational annotation, including DAAC and ARBA, which use domain architecture and association rule mining to improve functional prediction. These methods have been used to generate a large number of functional annotations for UniProt entries. UniProt has also improved its GO annotation system, with GO terms assigned to UniRef clusters based on the presence of GO annotations in the cluster members. The GO annotation system has been used to improve the accuracy of functional annotations for UniProt entries. UniProt has also improved its bibliography system, with additional literature sources added to complement the curated literature set. The bibliography system has been used to improve the accuracy of functional annotations for UniProt entries. UniProt has also improved its website, adding new visualizations for molecular interactions, subcellular localization, and molecular structure. These visualizations help users understand the molecular context of UniProt entries. UniProt continues to develop its processes and procedures to efficiently provide a global collection of protein sequences and annotations. The database has seen significant growth in the number of genomes and protein sequences over the past two years