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无效小干扰RNA的筛选及改进的小干扰RNA设计工具

Filtering of ineffective siRNAs and improved siRNA design tool.

作者信息

Yiu S M, Wong Prudence W H, Lam T W, Mui Y C, Kung H F, Lin Marie, Cheung Y T

机构信息

Department of Computer Science, University of Hong Kong, Hong Kong.

出版信息

Bioinformatics. 2005 Jan 15;21(2):144-51. doi: 10.1093/bioinformatics/bth498. Epub 2004 Aug 27.

Abstract

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 AI 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

摘要

动机

短干扰RNA(siRNA)可用于抑制基因表达,在治疗方面有许多潜在应用,但如何设计有效的siRNA仍不明确。基于马克斯·普朗克研究所(MPI)的基本原理,最近开发了许多siRNA设计工具。这些工具报告的候选序列集通常很大,且常常包含无效的siRNA。鉴于此,我们开始研究筛选无效siRNA。

结果

本文的贡献有两方面。首先,我们提出了一个基于文献中的实际数据来比较现有设计工具的合理方案。其次,我们尝试通过一种能够筛选无效siRNA的算法来改进MPI原理和现有工具。该算法基于对二级结构的一些新观察结果,我们已通过人工智能技术(决策树和支持向量机)进行了验证。我们将我们的算法与MPI原理及现有工具一起进行了测试。结果表明我们的筛选算法是有效的。

可用性

siRNA设计软件工具可在网站http://www.cs.hku.hk/~sirna/上找到。

联系方式

smyiu@cs.hku.hk

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