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This article will explain in detail how to analyze the KEGG Enzyme database. The content of the article is of high quality, so the editor shares it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Most of the reactions in organisms require the participation of enzymes, which play an important role in life activities. The International standardized Nomenclature Committee of IUBMB/UPAC provides a standardized naming method for all the enzymes that have been found, called EC number.

KEGG ENZYME integrates the enzyme information in the ExplorEnz database and provides the corresponding sequence information in addition to the basic Ec number and name attributes.

Let's take a look at each piece of recorded information.

Entry enzyme number, EC numberName enzyme name Class belongs to the classification Sysname other names Reaction enzyme catalyzed reaction Substrate substrate Product product Comment annotation History revision recording Pathway participating pathway Orthology corresponding KO information Genes corresponding gene Reference reference Other DBs links to other databases in various species

Enzymes catalyze the progress of biological reactions, so they are linked to pathway and raction,compound databases. In the connection between Enzyme and other databases, we need to focus on understanding the correspondence with KO.

In 1995, when the KEGG database was first created, EC number was mainly used to map metabolic pathways; until 1999, the concept of Orthology ID was proposed to replace EC number to map pathways; in 2002, Orthology ID became KO and EC number appeared as an attribute of KO. So what is the correspondence between EC number and KO?

Enzymes are the products of genes, and genes have corresponding KO annotations. Through genes, genes as a bridge, we can better understand the corresponding relationship between enzymes and KO.

Although there is experimental evidence for the existence of this enzyme, there is no corresponding genetic information, so there is no corresponding KO annotation, such as 1.1.1.46, there is no corresponding KO information.

This enzyme exists in many species, that is, there are corresponding multiple genes, which belong to different KO (of course, the functional descriptions of these KO are very similar). In this case, one EC Number corresponds to multiple KO, such as 1.1.1.376.

The corresponding genes of this enzyme belong to the same KO, such as 1.1.1.388

Multiple enzymes correspond to the same KO, and genes corresponding to multiple enzymes are classified under the same KO, such as 1.1.1.49 and 1.1.1.363.

The Enzyme database stores information about enzymes, and each enzyme is uniquely identified by EC number.

The corresponding relationship between Ec number and KO is complex, and the corresponding relationship between them can be understood through genes.

On how to analyze the KEGG Enzyme database to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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