Identifying human kinase-specific protein phosphorylation sites by integrating heterogeneous information from various sources.

ABSTRACT: Phosphorylation is an important type of protein post-translational modification. Identification of possible phosphorylation sites of a protein is important for understanding its functions. Unbiased screening for phosphorylation sites by in vitro or in vivo experiments is time consuming and expensive; in silico prediction can provide functional candidates and help narrow down the experimental efforts. Most of the existing prediction algorithms take only the polypeptide sequence around the phosphorylation sites into consideration. However, protein phosphorylation is a very complex biological process in vivo. The polypeptide sequences around the potential sites are not sufficient to determine the phosphorylation status of those residues. In the current work, we integrated various data sources

SUBMITTER: Li T 

PROVIDER: S-EPMC2981550 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature