Treffer: Filtering of ineffective siRNAs and improved siRNA design tool

Title:
Filtering of ineffective siRNAs and improved siRNA design tool
Source:
Bioinformatics (Oxford. Print). 21(2):144-151
Publisher Information:
Oxford: Oxford University Press, 2005.
Publication Year:
2005
Physical Description:
print, 1 p.1/2
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Hong Kong, Hong-Kong
Department of Computer Science, University of Liverpool, Liverpool L69 7ZF, United Kingdom
Institute of Molecular Biology, University of Hong Kong, Hong-Kong
ISSN:
1367-4803
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Biological sciences. Generalities. Modelling. Methods

Generalities in biological sciences
Accession Number:
edscal.16450227
Database:
PASCAL Archive

Weitere Informationen

Motivation: Short interfering RNAs (siRNAs) can be used to suppress gene expression and possess many potential applications in therapy, but how to design an effective siRNA is still not clear. Based on the MPI (Max-Planck-Institute) basic principles, a number of siRNA design tools have been developed recently. The set of candidates reported by these tools is usually large and often contains ineffective siRNAs. In view of this, we initiate the study of filtering ineffective siRNAs. Results: The contribution of this paper is 2-fold. First, we propose a fair scheme to compare existing design tools based on real data in the literature. Second, we attempt to improve the MPI principles and existing tools by an algorithm that can filter ineffective siRNAs. The algorithm is based on some new observations on the secondary structure, which we have verified by Al techniques (decision trees and support vector machines). We have tested our algorithm together with the MPI principles and the existing tools. The results show that our filtering algorithm is effective. Availability: The siRNA design software tool can be found in the website http://www.cs.hku.hk/∼sirna/ Contact: smyiu@cs.hku.hk.