A workflow for mathematical modeling of subcellular metabolic pathways in leaf metabolism of Arabidopsis thaliana.

ABSTRACT: During the last decade genome sequencing has experienced a rapid technological development resulting in numerous sequencing projects and applications in life science. In plant molecular biology, the availability of sequence data on whole genomes has enabled the reconstruction of metabolic networks. Enzymatic reactions are predicted by the sequence information. Pathways arise due to the participation of chemical compounds as substrates and products in these reactions. Although several of these comprehensive networks have been reconstructed for the genetic model plant Arabidopsis thaliana, the integration of experimental data is still challenging. Particularly the analysis of subcellular organization of plant cells limits the understanding of regulatory instances in these metabolic networks

SUBMITTER: Nagele T 

PROVIDER: S-EPMC3872044 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature