Predicting networking couples for metabolic pathways of Arabidopsis

Cai, Yu-Dong; Chou, Kuo-Chen; Zhong, Wei-Zhu

Predicting networking couples for metabolic pathways of Arabidopsis

dc.contributor.author	Cai, Yu-Dong	de
dc.contributor.author	Chou, Kuo-Chen	de
dc.contributor.author	Zhong, Wei-Zhu	de
dc.date.accessioned	2008-06-17T14:04:33Z
dc.date.available	2008-06-17T14:04:33Z
dc.date.issued	2006-05-19	de
dc.description.abstract	Given an enzyme-compound couple, how can we identify whether it belongs to a networking couple or non-networking couple? This is very important for investigating the metabolic pathways. To address this problem, a novel approach was developed that is featured by using the knowledge of gene ontology (GO), chemical functional group (FunG), and pseudo amino acid composition (PseAA) to represent the samples of enzyme-compound couples. Two basic identifiers were formulated: one is called "GOFunG", and the other, "PseAA-FunG". The prediction was operated by fusing these two basic identifiers into one. As a showcase, the metabolic pathways were investigated for Arabidopsis thaliana, a small flowering plant widely used as a model organism for studies of the cellular and molecular biology of flowering plants. The average overall success rate via the jackknife cross-validation tests for the 72 metabolic pathways in the Arabidopsis system was over 95%, suggesting that the current approach might become a very useful tool for studying metabolic pathways and many other problems in the cellular networking related areas.	en
dc.identifier.issn	1611-2156	de
dc.identifier.uri	http://hdl.handle.net/2003/25665
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-8287
dc.language.iso	en	de
dc.relation.ispartofseries	EXCLI Journal ; Vol. 5, 2006	en
dc.subject	Arabidopsis thaliana	en
dc.subject	Cellular networking	en
dc.subject	Chemical functional group	en
dc.subject	Enzyme control regulation	en
dc.subject	Gene ontology	en
dc.subject	Metabolic pathway	en
dc.subject	Pseudo amino acid composition	en
dc.subject	System biology	en
dc.subject.ddc	610
dc.title	Predicting networking couples for metabolic pathways of Arabidopsis	en
dc.type	Text	de
dc.type.publicationtype	article	de
dcterms.accessRights	open access
eldorado.dnb.zdberstkatid	2132560-1

Files

Original bundle

Now showing 1 - 1 of 1

Name:: Chou07-06proofrev.pdf
Size:: 296.17 KB
Format:: Adobe Portable Document Format
Description:: DNB

Download

Collections

Original Articles