GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy

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…

• CA
  Chinese Academy of Sciences

  Awards: KJCX2, 2007CB914503, KSCX2-YW-21, KJCX2-YW-M02
• NI
  National Institutes of Health

  Award: DK56292