GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy.

ABSTRACT: Identification of protein phosphorylation sites with their cognate protein kinases (PKs) is a key step to delineate molecular dynamics and plasticity underlying a variety of cellular processes. Although nearly 10 kinase-specific prediction programs have been developed, numerous PKs have been casually classified into subgroups without a standard rule. For large scale predictions, the false positive rate has also never been addressed. In this work, we adopted a well established rule to classify PKs into a hierarchical structure with four levels, including group, family, subfamily, and single PK. In addition, we developed a simple approach to estimate the theoretically maximal false positive rates. The on-line service and local packages of the GPS (Group-based Prediction System) 2.0 were impl

SUBMITTER: Xue Y 

PROVIDER: S-EPMC2528073 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature