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
Link To Document :
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