Demonstration of two novel methods for predicting functional siRNA efficiency.

ABSTRACT:

Background

siRNAs are small RNAs that serve as sequence determinants during the gene silencing process called RNA interference (RNAi). It is well know that siRNA efficiency is crucial in the RNAi pathway, and the siRNA efficiency for targeting different sites of a specific gene varies greatly. Therefore, there is high demand for reliable siRNAs prediction tools and for the design methods able to pick up high silencing potential siRNAs.

Results

In this paper, two systems have been established for the prediction of functional siRNAs: (1) a statistical model based on sequence information and (2) a machine learning model based on three features of siRNA sequences, namely binary description, thermodynamic profile and nucleotide composition. Both of the two methods show high perfo

SUBMITTER: Jia P 

PROVIDER: S-EPMC1524998 | biostudies-literature | 2006 May

REPOSITORIES: biostudies-literature