• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Improved asymmetry prediction for short interfering RNAs
In the development of RNA interference therapeutics, merely selecting short interfering RNA (siRNA) sequences that are complementary to the mRNA target does not guarantee target silencing. Current algorithms for selecting siRNAs rely on many parameters, one of which is asymmetry, often predicted through calculation of the relative thermodynamic stabilities of the two ends of the siRNA. However, we have previously shown that highly active siRNA sequences are likely to have particular nucleotides at each 5′‐end, independently of their thermodynamic asymmetry. Here, we describe an algorithm for predicting highly active si...
Source: FEBS Journal - January 2, 2014 Category: Research Authors: Amanda P. Malefyt, Ming Wu, Daniel B. Vocelle, Sean J. Kappes, Stephen D. Lindeman, Christina Chan, S. Patrick Walton Tags: Original Article Source Type: research

VIRsiRNApred: a web server for predicting inhibition efficacy of siRNAs targeting human viruses
Conclusion: VIRsiRNApred is the first algorithm for predicting inhibition efficacy of viral siRNAs which is developed using experimentally verified viral siRNAs. We hope this algorithm would be useful in predicting highly potent viral siRNA to aid siRNA based antiviral therapeutics development. The web server is freely available at http://crdd.osdd.net/servers/virsirnapred/.
Source: Journal of Translational Medicine - December 11, 2013 Category: Research Authors: Abid QureshiNishant ThakurManoj Kumar Source Type: research

Improved asymmetry prediction for siRNAs
This article is protected by copyright. All rights reserved.
Source: FEBS Journal - November 1, 2013 Category: Research Authors: Amanda P. Malefyt, Ming Wu, Daniel B. Vocelle, Sean J. Kappes, Stephen D. Lindeman, Christina Chan, S. Patrick Walton Tags: Original Article Source Type: research