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Journal of Computer Science & Systems Biology
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Research Article

A Novel Algorithm to Design an Efficient siRNA by Combining the Pre Proposed Rules of siRNA Designing

Shishir Kumar Gupta1*, Bashir Akhlaq Akhoon2, Mugdha Srivastava1, Shailendra Kumar Gupta3

1Society for Biological Research & Rural Development, Lucknow, 226010, UP, India

2Centre of Bioinformatics, Department of Biotechnology, SMVD University, Jammu, India

3Indian Institute of Toxicology Research, Lucknow, CSIR, India

*Corresponding Author:
Dr. Shishir K Gupta,
M.Sc., Society for Biological
Research & Rural Development
The Bioinformatica Solutions, 1/8
Vijay Khand, Gomti Nagar, 226010
Lucknow, UP, India
Tel: +91- 9451157798, +91 522 2391518
E-mail: [email protected]

Received Date: January 13, 2010; Accepted Date: February 08, 2010; Published Date: February 08, 2010

Citation: Gupta SK, Akhoon BA, Srivastava M, Gupta SK (2010) A Novel Algorithm to Design an Efficient siRNA by Combining the Pre Proposed Rules of siRNA Designing. J Comput Sci Syst Biol 3:005-009. doi: 10.4172/jcsb.1000048

Copyright: © 2010 Gupta SK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Short interfering RNAs (siRNAs) can be used to suppress gene expression and have a lot of potential applications in therapy, yet how to design an effective siRNA is still under consideration. Numerous siRNA design tools have been developed recently. The set of candidates reported by these tools is usually large and often contains ineffective siRNAs. We initiated with the filtering of ineffective siRNAs, specifically, the current work establishes relationship between mentioned theoretically calculated property of subsequences and their efficiency for RNAi for any input set of experimental data. We combined some reported algorithms and designed a new algorithm that mainly focuses on stability and off-targeting to design siRNA sequences.

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