Prioritizing functional phosphorylation sites based on multiple feature integration.

Abstract:

:Protein phosphorylation is an important type of post-translational modification that is involved in a variety of biological activities. Most phosphorylation events occur on serine, threonine and tyrosine residues in eukaryotes. In recent years, many phosphorylation sites have been identified as a result of advances in mass-spectrometric techniques. However, a large percentage of phosphorylation sites may be non-functional. Systematically prioritizing functional sites from a large number of phosphorylation sites will be increasingly important for the study of their biological roles. This study focused on exploring the intrinsic features of functional phosphorylation sites to predict whether a phosphosite is likely to be functional. We found significant differences in the distribution of evolutionary conservation, kinase association, disorder score, and secondary structure between known functional and background phosphorylation datasets. We built four different types of classifiers based on the most representative features and found that their performances were similar. We also prioritized 213,837 human phosphorylation sites from a variety of phosphorylation databases, which will be helpful for subsequent functional studies. All predicted results are available for query and download on our website (Predict Functional Phosphosites, PFP, http://pfp.biosino.org/).

journal_name

Sci Rep

journal_title

Scientific reports

authors

Xiao Q,Miao B,Bi J,Wang Z,Li Y

doi

10.1038/srep24735

subject

Has Abstract

pub_date

2016-04-19 00:00:00

pages

24735

issn

2045-2322

pii

srep24735

journal_volume

6

pub_type

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