A computational method for predicting regulation of human microRNAs on the influenza virus genome.

ABSTRACT:

Background

While it has been suggested that host microRNAs (miRNAs) may downregulate viral gene expression as an antiviral defense mechanism, such a mechanism has not been explored in the influenza virus for human flu studies. As it is difficult to conduct related experiments on humans, computational studies can provide some insight. Although many computational tools have been designed for miRNA target prediction, there is a need for cross-species prediction, especially for predicting viral targets of human miRNAs. However, finding putative human miRNAs targeting influenza virus genome is still challenging.

Results

We developed machine-learning features and conducted comprehensive data training for predicting interactions between H1N1 genome segments and host miRNA. We defin

SUBMITTER: Zhang H 

PROVIDER: S-EPMC3851852 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature