Demonstration of two novel methods for predicting functional sirna efficiency
文献类型：期刊论文
| 作者 | Jia, Peilin; Shi, Tieliu; Cai, Yudong; Li, Yixue |
| 刊名 | Bmc bioinformatics
 |
| 出版日期 | 2006-05-29 |
| 卷号 | 7页码:10 |
| ISSN号 | 1471-2105 |
| DOI | 10.1186/1471-2105-7-271 |
| 通讯作者 | Jia, peilin(pljia@sibs.ac.cn) |
| 英文摘要 | Background: sirnas are small rnas that serve as sequence determinants during the gene silencing process called rna interference (rnai). it is well know that sirna efficiency is crucial in the rnai pathway, and the sirna efficiency for targeting different sites of a specific gene varies greatly. therefore, there is high demand for reliable sirnas prediction tools and for the design methods able to pick up high silencing potential sirnas. results: in this paper, two systems have been established for the prediction of functional sirnas: (1) a statistical model based on sequence information and (2) a machine learning model based on three features of sirna sequences, namely binary description, thermodynamic profile and nucleotide composition. both of the two methods show high performance on the two datasets we have constructed for training the model. conclusion: both of the two methods studied in this paper emphasize the importance of sequence information for the prediction of functional sirnas. the way of denoting a bio-sequence by binary system in mathematical language might be helpful in other analysis work associated with fixed-length bio-sequence. |
| WOS关键词 | PROTEIN SIGNAL SEQUENCES ; SUPPORT VECTOR MACHINES ; RNA INTERFERENCE ; CLEAVAGE SITES ; DESIGN ; GENOME |
| WOS研究方向 | Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| WOS类目 | Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology |
| 语种 | 英语 |
| WOS记录号 | WOS:000239517400001 |
| 出版者 | BIOMED CENTRAL LTD |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2378935 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Jia, Peilin |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, Bioinformat Ctr, Shanghai 200031, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 3.Shanghai Ctr Bioinformat Technol, Shanghai 200235, Peoples R China 4.Chinese Acad Sci, Shanghai Inst Biol Sci, Partner Inst Computat Biol, CAS MPG, Shanghai, Peoples R China 5.Shanghai Jiao Tong Univ, Life Sci Sch, Shanghai, Peoples R China 6.UMIST, Dept Biomol Sci, Manchester M60 1QD, Lancs, England |
| 推荐引用方式 GB/T 7714 | Jia, Peilin,Shi, Tieliu,Cai, Yudong,et al. Demonstration of two novel methods for predicting functional sirna efficiency[J]. Bmc bioinformatics,2006,7:10. |
| APA | Jia, Peilin,Shi, Tieliu,Cai, Yudong,&Li, Yixue.(2006).Demonstration of two novel methods for predicting functional sirna efficiency.Bmc bioinformatics,7,10. |
| MLA | Jia, Peilin,et al."Demonstration of two novel methods for predicting functional sirna efficiency".Bmc bioinformatics 7(2006):10. |
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来源：中国科学院大学
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