VIRsiRNApred: a web server for predicting inhibition efficacy of siRNAs targeting human viruses.

ABSTRACT:

Background

Selection of effective viral siRNA is an indispensable step in the development of siRNA based antiviral therapeutics. Despite immense potential, a viral siRNA efficacy prediction algorithm is still not available. Moreover, performances of the existing general mammalian siRNA efficacy predictors are not satisfactory for viral siRNAs. Therefore, we have developed "VIRsiRNApred" a support vector machine (SVM) based method for predicting the efficacy of viral siRNA.

Methods

In the present study, we have employed a new dataset of 1725 viral siRNAs with experimentally verified quantitative efficacies tested under heterogeneous experimental conditions and targeting as many as 37 important human viruses including HIV, Influenza, HCV, HBV, SARS etc. These siRNAs were divid

SUBMITTER: Qureshi A 

PROVIDER: S-EPMC3878835 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature