DocumentCode
3232962
Title
An algorithm for extracting subgraph of specific species from metabolic pathway
Author
Zhao, Jian-Bang ; Lin, Gao
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
74
Lastpage
79
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.
Keywords
biology computing; database management systems; genetic engineering; BioPath; EcoCys; ExtKEGG; compound-based metabolic pathways; compound-compound interactions; conserved pathway analysis; enzyme-enzyme interactions; extract metabolic pathway; functional modularity detection; phylogenetic analysis; species subgraph extraction; Humans; EMP; ExtKEGG; extract subgraph; metabolic pathway;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645350
Filename
5645350
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