Semantic Scholar Open Access 2024 1676 sitasi

KEGG: biological systems database as a model of the real world

M. Kanehisa Miho Furumichi Yoko Sato Yuriko Matsuura Mari Ishiguro-Watanabe

Abstrak

Abstract KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are the primary dataset in KEGG representing systemic functions of the cell and the organism in terms of molecular interaction and reaction networks. The KEGG Orthology (KO) system is a mechanism for linking genes and proteins to pathway maps and other molecular networks. Each KO is a generic gene identifier and each pathway map is created as a network of KO nodes. This architecture enables KEGG pathway mapping to uncover systemic features from KO assigned genomes and metagenomes. Additional roles of KOs include characterization of conserved genes and conserved units of genes in organism groups, which can be done by taxonomy mapping. A new tool has been developed for identifying conserved gene orders in chromosomes, in which gene orders are treated as sequences of KOs. Furthermore, a new dataset called VOG (virus ortholog group) is computationally generated from virus proteins and expanded to proteins of cellular organisms, allowing gene orders to be compared as VOG sequences as well. Together with these datasets and analysis tools, new types of pathway maps are being developed to present a global view of biological processes involving multiple organism groups.

Topik & Kata Kunci

Penulis (5)

M

M. Kanehisa

M

Miho Furumichi

Y

Yoko Sato

Y

Yuriko Matsuura

M

Mari Ishiguro-Watanabe

Format Sitasi

Kanehisa, M., Furumichi, M., Sato, Y., Matsuura, Y., Ishiguro-Watanabe, M. (2024). KEGG: biological systems database as a model of the real world. https://doi.org/10.1093/nar/gkae909

Akses Cepat

Lihat di Sumber doi.org/10.1093/nar/gkae909
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
1676×
Sumber Database
Semantic Scholar
DOI
10.1093/nar/gkae909
Akses
Open Access ✓