Pathway and Functional Databases
Introduction
Pathway and functional databases are specialized biological resources that provide information about biological pathways, gene functions, molecular interactions, metabolic networks, and cellular processes. These databases help researchers understand how genes and proteins work together in biological systems, identify disease mechanisms, perform pathway enrichment analysis, and interpret high-throughput genomic and transcriptomic data. They are widely used in bioinformatics, systems biology, molecular biology, pharmacology, and biomedical research.
Major pathway and functional databases include KEGG, Gene Ontology (GO), Reactome, and EcoCyc.
KEGG (Kyoto Encyclopedia of Genes and Genomes)
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is one of the most widely used biological pathway databases. It integrates information on genes, proteins, metabolites, diseases, drugs, and molecular interaction networks to provide a comprehensive understanding of biological systems.
Researchers use KEGG to:
- Map genes to biological pathways
- Analyze metabolic and signaling pathways
- Study disease-associated pathways
- Perform functional enrichment and pathway analysis
- Support systems biology and drug discovery research
KEGG is extensively used for interpreting genomic, transcriptomic, and metabolomic datasets.
Website: https://www.genome.jp/kegg
Gene Ontology (GO)
The Gene Ontology (GO) project provides a standardized vocabulary for describing gene and protein functions across different species. GO enables consistent functional annotation and facilitates comparison of gene functions between organisms.
GO organizes annotations into three major categories:
- Biological Process (BP) β Biological objectives or pathways in which a gene participates.
- Molecular Function (MF) β Biochemical activities performed by gene products.
- Cellular Component (CC) β Cellular locations where gene products are active.
Gene Ontology is widely used in gene annotation, functional enrichment analysis, comparative genomics, and systems biology research.
Website: https://geneontology.org/
Reactome
Reactome is a manually curated and peer-reviewed database of biological pathways, primarily focusing on human biology and other eukaryotic organisms. It provides detailed information on molecular reactions, signaling pathways, metabolism, gene regulation, immune responses, and disease mechanisms.
Researchers use Reactome for pathway visualization, pathway enrichment analysis, network biology, and interpretation of omics datasets.
Website: https://reactome.org/
EcoCyc
EcoCyc is a comprehensive database dedicated to the biology of Escherichia coli (E. coli). It contains curated information on metabolic pathways, genes, proteins, regulatory networks, and cellular processes of this model bacterial organism.
EcoCyc is widely used in microbiology, bacterial genomics, metabolic engineering, and systems biology research.
Website: https://ecocyc.org/