KEGG BRITE is a collection of hierarchical classifications (see new hierarchies and update history) 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.

• Download KegHier

Search BRITE hierarchies for
       KEGG identifiers only

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.

• Search Brite - basic brite mapping tool
• Search&Color Brite - advanced brite mapping tool
• Join Brite - selected brite hierarchy manipulation tool

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   

Join KO Enzymes Transporters G protein-coupled receptors Enzyme-linked receptors Cytokine receptors Nuclear receptors Ion channels Protein kinases Peptidases Glycosyltransferases and EC number Reaction GO COG TC CAZy

Join ATC classification Therapeutic category of drugs USP drug classification and Target Enzyme Transporter Map number

Join KEGG organisms Animal classification Plant classification and Keywords

The following interface accepts user-defined binary relation data.

• Join BRITE hierarchy and binary relations