A Plant Phosphorylation Prediction Tool

Welcome to PlantPhos

PlantPhos is a web tool for predicting potential phosphorylation sites in plant proteins.

PlantPhos utilizes Hidden Markov Models (HMM) built from catalytic kinase motifs in plants to predict potential phosphorylation sites. The catalytic kinase motifs used for creating the models are generated using Maximal Dependence Decomposition (MDD).

Citing PlantPhos

Lee TY, Bretana NA, Lu CT. (2011) "PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity." BMC Bioinformatics, Vol. 12, 261. [PubMed]

System Flow


Case Study

Dept. of Computer Science & Engineering, Yuan Ze University, Chungli 320, Taiwan.