Data-oriented entry points
| Category | Entry Point | Content | DBGET Search | |
| Systems information |
KEGG PATHWAY | KEGG pathway maps | PATHWAY | |
| KEGG BRITE | BRITE hierarchies and tables | BRITE | ||
| KEGG MODULE | KEGG modules | MODULE | ||
| Genomic information |
KO (KEGG Orthology) | Functional orthologs | ORTHOLOGY | |
| KEGG GENOME | KEGG organisms (complete genomes) | GENOME | ||
| KEGG GENES | Genes and proteins | GENES | ||
| KEGG SSDB | GENES sequence similarity | |||
| Chemical information (KEGG LIGAND) |
KEGG COMPOUND | Small molecules | COMPOUND | |
| KEGG GLYCAN | Glycans | GLYCAN | ||
| KEGG REACTION | Reactions and reaction classes | REACTION RCLASS | ||
| KEGG ENZYME | Enzyme nomenclature | ENZYME | ||
| Health information |
KEGG NETWORK | Disease-related network elements | NETWORK VARIANT | |
| KEGG DISEASE | Human diseases | DISEASE | ||
| KEGG DRUG | Drugs and drug groups | DRUG DGROUP | ||
| KEGG ENVIRON | Health related substances | ENVIRON | ||
| KEGG MEDICUS | Japanese drug labels (JAPIC) | |||
| FDA drug labels (DailyMed) | ||||
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KEGG is developed by Kanehisa Laboratories.
See Kanehisa et al. (2019) for updates of KEGG. | ||||
Organism-specific entry points
KEGG organisms - the list of currently available organisms with KO annotation (see statistics)
| Organism group | Pangenome | Genome | ||
| Eukaryotes | Animals Plants Fungi Protists |
Genus level pangenomes |
Species level pangenomes |
KEGG organisms |
| Prokaryotes | Bacteria Archaea |
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See KEGG GENOME for more details.
Subject-oriented entry points
- KEGG Cancer
- Cancer research
- KEGG Pathogen
- Pathogen genomes and antimicrobial resistance
- KEGG Virus
- Virus research
- KEGG Plant
- Plant research
- KEGG Annotation
- KO annotation of genes and proteins
- KEGG SeqData
- KEGG sequence data collection
- KEGG RModule
- Architecture of metabolic networks
KEGG tools for analysis and retrieval
- KEGG Mapper
- Suite of KEGG mapping tools
- BlastKOALA
- Automatic KO annotation and KEGG mapping service
- GhostKOALA
- Automatic KO annotation and KEGG mapping service
The following resources are developed and maintained by Kyoto University Bioinformatics Center as part of its GenomeNet service.
KEGG database extensions
- KEGG MGENOME
- Metagenomes [DBGET]
- KEGG MGENES
- Genes in metagenomes [DBGET]
- KEGG EXPRESSION
- Gene expression data [DBGET]
- KEGG OC
- Computationally generated ortholog clusters
GenomeNet tools for computational analysis
- BLAST/FASTA
- Sequence similarity search
- KofamKOALA
- Gene annotation and KEGG mapping
- KAAS
- KEGG automatic annotation server
- GENIES
- Gene network prediction
- PathComp
- Possible reaction path computation
- PathSearch
- Similar reaction path search
- PathPred
- Reaction pathway prediction
- E-zyme
- Enzymatic reaction prediction
- DINIES
- Drug-target interaction network prediction
DBGET/LinkDB retrieval system
DBGET - for keyword search of KEGG and other databases
LinkDB - for searching outside databases linked from KEGG [list of outside databases]
LinkDB - for searching outside databases linked from KEGG [list of outside databases]
Last updated: March 25, 2019