ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins.

ABSTRACT:

Background

The phosphorylation of virus proteins by host kinases is linked to viral replication. This leads to an inhibition of normal host-cell functions. Further elucidation of phosphorylation in virus proteins is required in order to aid in drug design and treatment. However, only a few studies have investigated substrate motifs in identifying virus phosphorylation sites. Additionally, existing bioinformatics tool do not consider potential host kinases that may initiate the phosphorylation of a virus protein.

Results

329 experimentally verified phosphorylation fragments on 111 virus proteins were collected from virPTM. These were clustered into subgroups of significantly conserved motifs using a recursively statistical method. Two-layered Support Vector Machines (SVMs) we

SUBMITTER: Huang KY 

PROVIDER: S-EPMC3853219 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature