2010Unpublished venueRequires access

An algorithm for extracting subgraph of specific species from metabolic pathway

Jianbang Zhao, Lin Gao

Open publisher page 0 citations

Abstract

A large number of metabolic pathway databases are currently available, such as KEGG, EcoCys, and BioPath. For a better use of the KEGG databases, studying the KEGG data structure and rebuilding it into a convenient form become crucial tasks to our research, such as functional modularity detection, conserved pathway analysis, phylogenetic analysis. This paper presents an algorithm for extracting the metabolic pathways from KEGG database to the form of enzyme-enzyme interactions (EEI) and compound-compound ones. Using the algorithm EMP (Extract Metabolic Pathway), we can transform a specific species metabolic pathway in KEGG into a subgraph which consists of EEI edges. Additionally, we provide a tool named ExtKEGG to extract compound-based metabolic pathways. Furthermore, the experimental results show that our algorithm causes no information loss.

About this research paper

What this paper is about

A large number of metabolic pathway databases are currently available, such as KEGG, EcoCys, and BioPath. For a better use of the KEGG databases, studying the KEGG data structure and rebuilding it into a convenient form become crucial tasks to our research, such as functional modularity detection, conserved pathway analysis, phylogenetic analysis. This paper presents an algorithm for extracting the metabolic pathways from KEGG database to the form of enzyme-enzyme interactions (EEI) and compound-compound ones. Using the algorithm EMP (Extract Metabolic Pathway), we can transform a specific species metabolic pathway in KEGG into a subgraph which consists of EEI edges. Additionally, we provide a tool named ExtKEGG to extract compound-based metabolic pathways. Furthermore, the experimental results show that our algorithm causes no information loss.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A large number of metabolic pathway databases are currently available, such as KEGG, EcoCys, and BioPath. For a better use of the KEGG databases, studying the KEGG data structure and rebuilding it into a convenient form become crucial tasks to our research, such as functional modularity detection, conserved pathway analysis, phylogenetic analysis. This paper presents an algorithm for extracting the metabolic pathways from KEGG database to the form of enzyme-enzyme interactions (EEI) and compound-compound ones. Using the algorithm EMP (Extract Metabolic Pathway), we can transform a specific species metabolic pathway in KEGG into a subgraph which consists of EEI edges. Additionally, we provide a tool named ExtKEGG to extract compound-based metabolic pathways. Furthermore, the experimental results show that our algorithm causes no information loss.

Key concepts: KEGG, Metabolic pathway, Computer science, Modularity (biology), Computational biology, Data mining, Enzyme, Biology

Related papers

Back to paper searchBrowse research topicsOriginal source
An algorithm for extracting subgraph of specific species from metabolic pathway — Research Paper | ScholarLens