PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity.

ABSTRACT:

Background

Protein phosphorylation catalyzed by kinases plays crucial regulatory roles in intracellular signal transduction. Due to the difficulty in performing high-throughput mass spectrometry-based experiment, there is a desire to predict phosphorylation sites using computational methods. However, previous studies regarding in silico prediction of plant phosphorylation sites lack the consideration of kinase-specific phosphorylation data. Thus, we are motivated to propose a new method that investigates different substrate specificities in plant phosphorylation sites.

Results

Experimentally verified phosphorylation data were extracted from TAIR9-a protein database containing 3006 phosphorylation data from the plant species Arabidopsis thaliana. In an attempt to investigate

SUBMITTER: Lee TY 

PROVIDER: S-EPMC3228547 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature