GOA

GOA provides evidence-based annotations linking Gene Ontology (GO) terms to proteins in the UniProt Knowledgebase (UniProtKB) to support functional characterization across taxa.

Key Features:

• Evidence-based annotations: Manual annotations derived from curation of peer-reviewed scientific literature by UniProt curators link GO terms to UniProtKB proteins.
• Integrated community contributions: Annotations incorporate contributions from 36 model organism and domain-focused scientific resources.
• Automatic annotation predictions: High-quality automatic annotation predictions are included to expand coverage.
• Scale and taxonomic coverage: The dataset comprises over 100 million annotations for more than 11 million proteins across over 360,000 taxa.
• Coverage of non-model organisms: The resource includes annotations for less-characterized, non-model organisms in addition to model species.
• Quality assurance: Rigorous quality checks and enhancements in annotation consistency have been applied to the dataset.
• GO Consortium annotation formats: Adoption of Gene Ontology Consortium annotation formats has increased the informational content of annotations.
• Normalized file format (2010): A normalized file format introduced in 2010 standardizes handling of the complete dataset.

Scientific Applications:

• Protein functional characterization: Use GOA annotations to assign and interpret molecular function, biological process, and cellular component terms for proteins in UniProtKB.
• Comparative functional analysis: Compare functional annotations across taxa, including non-model organisms, to investigate conservation and divergence of protein function.
• Annotation-driven biological studies: Support large-scale studies that rely on comprehensive GO annotations for hypothesis generation and interpretation.

Methodology:

Manual curation from peer-reviewed literature by UniProt curators, integration of contributions from 36 model organism and domain-focused resources, inclusion of high-quality automatic annotation predictions, application of rigorous quality checks and annotation-consistency enhancements, use of Gene Ontology Consortium annotation formats, and provision of a normalized file format introduced in 2010.