Using the KEGG Database Resource

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a bioinformatics resource for understanding the functions and utilities of cells and organisms from both high‐level and genomic perspectives. It is a self‐sufficient, integrated resource consisting of genomic, chemical, and network information, with cross‐references to numerous outside databases. The genomic and chemical information is a complete set of building blocks (genes and molecules) and the network information includes molecular wiring diagrams (interaction/reaction networks) and hierarchical classifications (relation networks) to represent high‐level functions. This unit describes protocols for using KEGG, focusing on molecular network information in KEGG PATHWAY, KEGG BRITE, and KEGG MODULE, perturbed molecular networks in KEGG DISEASE and KEGG DRUG, molecular building block information in KEGG GENES and KEGG LIGAND, and a mechanism for linking genomes to molecular networks in KEGG ORTHOLOGY (KO). All of these many protocols enable the user to take advantage of the full breadth of the functionality provided by KEGG. Curr. Protoc. Bioinform. 38:1.12.1‐1.12.43. © 2012 by John Wiley & Sons, Inc.

[1]  Akiyasu C. Yoshizawa,et al.  KAAS: an automatic genome annotation and pathway reconstruction server , 2007, Environmental health perspectives.

[2]  M. Kanehisa A database for post-genome analysis. , 1997, Trends in genetics : TIG.

[3]  Hiroyuki Ogata,et al.  KEGG: Kyoto Encyclopedia of Genes and Genomes , 1999, Nucleic Acids Res..

[4]  Susumu Goto,et al.  LIGAND: database of chemical compounds and reactions in biological pathways , 2002, Nucleic Acids Res..

[5]  Susumu Goto,et al.  The KEGG databases at GenomeNet , 2002, Nucleic Acids Res..

[6]  M. Kanehisa,et al.  Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. , 2003, Journal of the American Chemical Society.

[7]  M. Kanehisa,et al.  Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions. , 2004, Journal of the American Chemical Society.

[8]  Susumu Goto,et al.  The KEGG resource for deciphering the genome , 2004, Nucleic Acids Res..

[9]  Tatsuya Akutsu,et al.  KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains , 2004, Nucleic Acids Res..

[10]  Kiyoko F. Aoki-Kinoshita,et al.  From genomics to chemical genomics: new developments in KEGG , 2005, Nucleic Acids Res..

[11]  Yoshihiro Yamanishi,et al.  KEGG for linking genomes to life and the environment , 2007, Nucleic Acids Res..

[12]  Andrew G. McDonald,et al.  ExplorEnz: the primary source of the IUBMB enzyme list , 2008, Nucleic Acids Res..

[13]  Susumu Goto,et al.  SIMCOMP/SUBCOMP: chemical structure search servers for network analyses , 2010, Nucleic Acids Res..

[14]  Susumu Goto,et al.  PathPred: an enzyme-catalyzed metabolic pathway prediction server , 2010, Nucleic Acids Res..

[15]  Susumu Goto,et al.  KEGG for representation and analysis of molecular networks involving diseases and drugs , 2009, Nucleic Acids Res..

[16]  Tatiana A. Tatusova,et al.  NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy , 2011, Nucleic Acids Res..

[17]  Susumu Goto,et al.  KEGG for integration and interpretation of large-scale molecular data sets , 2011, Nucleic Acids Res..