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KEGG BRITE Database

Functional hierarchies and binary relationships of biological entities

KEGG2 PATHWAY BRITE DISEASE DRUG KO GENES GENOME LIGAND DBGET

Functional Hierarchies

KEGG BRITE is a collection of hierarchical classifications (see new hierarchies, change history, and last updates) representing our knowledge on various aspects of biological systems. In contrast to KEGG PATHWAY, which is limited to molecular interactions and reactions, KEGG BRITE incorporates many different types of relationships.

The hierarchies, especially those with additional tab-delimited fields, can better be examined with a desktop application called KegHier, which works on Mac, Windows, and Linux platforms.
green Search BRITE hierarchies for
       KEGG identifiers only

Brite Mapping

KEGG BRITE mapping is the process to map molecular datasets, especially large-scale datasets in genomics, transcriptomics, proteomics, and metabolomics, to the BRITE functional hierarchies for biological interpretation of higher-level systemic functions.
green Pathways and Ontologies
KEGG pathway maps
BRITE functional hierarchies
red Genes and Proteins

      Network hierarchy
KEGG Orthology (KO) (K numbers)
KEGG pathway modules (M numbers)
      Protein families (K numbers)
Enzymes
Protein kinases
Peptidases
Glycosyltransferases
LPS biosynthesis proteins
Lipid biosynthesis proteins
Cytochrome P450
Proteoglycans
Photosynthesis proteins
Transcription factors
Spliceosome
Ribosome
Translation factors
Chaperones and folding catalysts
SNAREs
Ubiquitin system
Proteasome
DNA replication proteins
Chromosome
DNA repair and recombination proteins
Transporters
Two-component system
Bacterial motility proteins
Bacterial toxins
Secretion system
Cytoskeleton proteins
G protein-coupled receptors
Enzyme-linked receptors
Cytokine receptors
Nuclear receptors
Ion channels
GTP-binding proteins
Cytokines
Cell adhesion molecules (CAMs)
CAM ligands
Cellular antigens
Glycan binding proteins
green Organisms and Cells

      Organisms
KEGG organisms   [+ keywords]
Animal classification
Plant classification
Photosynthetic organisms
      Cells, tissues, and organs
Human organ systems New!
Human cells New!
green Diseases and Drugs

      Diseases (H numbers)
Human diseases
ICD-10 disease classification
      Prescription drugs (D numbers)
ATC classification (Japan/USA/Europe)
   Drug targets in ATC hierarchy
   Metabolizing enzymes in ATC hierarchy
Therapeutic category of drugs (Japan)
USP drug classification (USA)
Antiinfectives
      OTC and crude drugs (D/C numbers)
Active ingredients of OTC drugs (Japan)
Traditional Chinese Medicine in Japan
Crude drugs
Essential oils
Phytochemicals used as drugs
blue Compounds and Reactions

      Compounds (C numbers)
Compounds with biological roles
Lipids
Phytochemical compounds
Polyketides and nonribosomal peptides
Bioactive peptides
      Reactions (R numbers)
Enzymatic reactions
IUBMB reaction hierarchy
Reaction class New!
Glycosyltransferase reactions

Binary Relationships

A binary relation file is a tab-delimited two-column file. It is used to add an attribute (column) to a BRITE hierarchy, to link between different BRITE hierarchies, and to link to/from outside databases. A BRITE hierarchical text file and a binary relation file are combined by the common key, such as the K number for KO or the D number for drugs, in a way similar to the join operation in the relational database. The following binary relation files are computationally generated from the KEGG databases.
K number to:    EC number    Reaction    GO    COG    TC    CAZy
D number to:    Target    Enzyme    Transporter    Map number   
KEGG organism code to:    Keywords   
blue Join and

blue Join and

g Join and

The following interface accepts user-defined binary relation data.

Codes and Abbreviations

Last updated: September 1, 2010
Feedback KEGG GenomeNet Bioinformatics Japan Kanehisa Laboratories