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篇目详细内容 |
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【篇名】 |
Predicting siRNA activity based on back-propagation neural network |
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【刊名】 |
Frontiers in Biology(Formerly known as Frontiers of Biology in China) |
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【刊名缩写】 |
Front. Biol. |
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【ISSN】 |
1674-7984 |
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【EISSN】 |
1674-7992 |
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【DOI】 |
10.1007/s11515-008-0032-z |
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【出版社】 |
Higher Education Press and Springer-Verlag |
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【出版年】 |
2008 |
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【卷期】 |
3
卷2期 |
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【页码】 |
154-159
页,共
6
页 |
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【作者】 |
LI Jianlong;
WANG Zhengzhi;
WANG Xiaomin;
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【关键词】 |
RNA interference (RNAi); double-stranded RNA (dsRNA); back-propagation neural network (BP NN) |
【摘要】 |
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RNA interference (RNAi) is a phenomenon of gene silence induced by a double-stranded RNA (dsRNA) homologous to a target gene. RNAi can be used to identify the function of genes or to knock down the targeted genes. In RNAi technology, 19 bp double-stranded short interfering RNAs (siRNA) with characteristic 3′ overhangs are usually used. The effects of siRNAs are quite varied due to the different choices in the sites of target mRNA. Moreover, there are many factors influencing siRNA activity and these factors are usually nonlinear. To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN). Then, we used the trained BP NN to predict siRNA activity. |
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