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This article is about the use of KEGG API to share with you, the editor thinks it is very practical, so I share it with you to learn. I hope you can get something after reading this article. Let's take a look at it with the editor.

Info

It is mainly used to show the statistics of how many records there are in each database and other databases related to the data. The url format is as follows:

Http://rest.kegg.jp/info/database

Database = kegg | pathway | brite | module | ko | genome | genes | org | vg | ag | compound | glycan | reaction | rclass | enzyme | network |

Variant | disease | drug | dgroup | environ

Example: view basic information of pathway database

Http://rest.kegg.jp/info/pathway

Pathway KEGG Pathway Databasepath Release 85.0 Universe 03-11, Mar 18Kanehisa Laboratories570005 entrieslinked db modulekogenomecompoundglycanreactionrclassenzymenetworkdiseasedrugpubmedlist

List all the records in the database, or list the records for the specified entry

For list operations, there are three different URL formats

First, view all the records in the database

Http://rest.kegg.jp/list/database

Database = pathway | brite | module | ko | genome | org | vg | ag | ag | compound | reaction | rclass | enzyme | network | variant | disease | drug | dgroup | environ | organism | medicus

Example: view information for all ko

Http://rest.kegg.jp/list/ko

Ko:K00001 E1.1.1.1, adh; alcohol dehydrogenase [EC:1.1.1.1] ko:K00002 AKR1A1, adh; alcohol dehydrogenase (NADP+) [EC:1.1.1.2] ko:K00003 E1.1.1.3; homoserine dehydrogenase [EC:1.1.1.3]

Second, for pathway and module databases only, view species-specific information in the following format

Http://rest.kegg.jp/list/database/org

Database = pathway | module

Example: view all pathway information corresponding to human

Http://rest.kegg.jp/list/pathway/hsa

Path:hsa00010 Glycolysis / Gluconeogenesis-Homo sapiens (human) path:hsa00020 Citrate cycle (TCA cycle)-Homo sapiens (human) path:hsa00030 Pentose phosphate pathway-Homo sapiens (human)

Third, check some records in the database and use the identifiers in the database to find them. Multiple identifiers are linked with + links, and a maximum of 10 URL are allowed to be found.

Http://rest.kegg.jp/list/dbentries

Dbentries = Entries of the following database

Database = pathway | brite | module | ko | genome | org | vg | ag | ag | compound | reaction | rclass | enzyme | network | variant | disease | drug | dgroup | environ | medicus

Example: view information about map00010 and map00040 in pathway

Http://rest.kegg.jp/list/map00010+map00040

Path:map00010 Glycolysis / Gluconeogenesispath:map00040 Pentose and glucuronate interconversionsfind

Find is used to search for keywords in the database in the following format

Http://rest.kegg.jp/find/database/query

Database = pathway | brite | module | ko | genome | genes | org | vg | ag |

Ligand | compound | glycan | reaction | rclass | enzyme | network | variant | disease | drug | dgroup | environ | medicus

Example: search for related genes based on keywords shiga and toxin

Http://rest.kegg.jp/find/genes/shiga+toxin

Ece:Z1464 stx2A; shiga-like toxin II A subunit encoded by bacteriophage BP-933Wece:Z1465 stx2B; shiga-like toxin II B subunit encoded by bacteriophage BP-933Wece:Z3343 stx1B; shiga-like toxin 1 subunit B encoded within prophage CP-933V or above is the usage of KEGG API. The editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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