Article

AtIPD: a curated database of Arabidopsis isoprenoid pathway models and genes for isoprenoid network analysis.

Department of Biology, Eidgenössisch Technische Hochschule Zurich, 8129 Zurich, Switzerland.
Plant physiology (Impact Factor: 6.56). 05/2011; 156(4):1655-60. DOI: 10.1104/pp.111.177758
Source: PubMed

ABSTRACT Isoprenoid biosynthesis is one of the essential metabolic pathways in plants and other organisms. Despite the importance of isoprenoids for plant functions, not much is known about the regulation of isoprenoid synthesis. Quantitative technologies and systems approaches are now increasingly used to investigate the regulation of metabolic pathways and networks. Prerequisite for systems approaches is the knowledge of network elements and topologies. Information that can be extracted from the public metabolic pathway databases such as AraCyc and KEGG is often not sufficiently comprehensive and current. Therefore we have built a database of manually curated isoprenoid pathway models and genes, the Arabidopsis thaliana Isoprenoid Pathway Database (AtIPD; http://www.atipd.ethz.ch). The database was compiled using information on pathways and pathway genes from BioPathAt (Lange and Ghassemian, 2003, 2005), KEGG (http://www.genome.jp/kegg), AraCyc (http://www.arabidopsis.org/biocyc), SUBA (http://suba.plantenergy.uwa.edu.au), and from the literature. AtIPD can be searched or browsed to extract data and external links related to isoprenoid pathway models, enzyme activities or subcellular enzyme localizations. To display quantitative gene-related data on curated pathway models, we created image annotation and mapping files for integrated use with the MapMan tool (http://mapman.gabipd.org/web/guest/mapman). Additionally, we built SBML XML files of the isoprenoid pathway images using the Cell DesignerTM tool (http://www.celldesigner.org). Users can download all image and annotation files for customization, e.g., adding pathway structural and regulatory network elements or modifying pathway images to visualize other quantitative protein or metabolite data. AtIPD therefore represents a valuable resource for isoprenoid network analysis.

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