Nucleic Acids Research· 2025Q1
The Gene Ontology knowledgebase in 2026
- 210citations
- Q1SCImago
- 2025year
Short summary
The Gene Ontology (GO) knowledgebase has been significantly updated over the past three years, expanding its coverage of cellular metabolism, host-pathogen interactions, extracellular matrix proteins, chromatin remodeling, and noncoding RNA functions.
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Key points
- GO knowledgebase expanded coverage in cellular metabolism, host-pathogen interactions, extracellular matrix proteins, chromatin remodeling, and noncoding RNA functions.
- Released 'functionome' with integrated, reviewed annotations for human genes.
- Increased GO-CAM models to over 1500, detailing metabolic and signaling pathways in key model organisms.
- Discusses future prospects of AI in GO's use and development.
AI-generated from the title and abstract; the full text is not read.
Abstract
The Gene Ontology (GO) knowledgebase (https://geneontology.org) is a comprehensive resource describing the functions of genes. The GO knowledgebase is regularly updated and improved. We describe here the major updates that have been made in the past 3 years. The ontology and annotations have been expanded and revised, particularly in several areas of biology: cellular metabolism, multi-organism interactions (e.g. host-pathogen), extracellular matrix proteins, chromatin remodeling (e.g. the "histone code"), and noncoding RNA functions. We have released version 2 of a comprehensive set of integrated, reviewed annotations for human genes, which we call the "functionome." We have also dramatically increased the number of GO-CAM models, with over 1500 models of metabolic and signaling pathways, primarily in human, mouse, budding and fission yeast, and fruit fly. Finally, we discuss our current recommendations and future prospects of AI in the use and development of GO.
The authors' abstract, as published at the source. Nucleic Acids Research, 2025 · DOI ↗
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Field: Molecular Biology
Molecular BiologyBiochemistry, Genetics and Molecular Biology