吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (03): 776-0781.

• paper • Previous Articles     Next Articles

siRNA design for H1N1 based on multicharacters

LIU Yuan-ning1, CHANG Ya-ping1, LI Zhi2, ZHANG Hao1, TIAN Ming-yao3   

  1. 1.School of Computer Science and Technology, Jilin University,Changchun 130012,China|2.School of Applied Technology,Changchun University of Science and Technology,Changchun 130022,China;3.Institute of Biological Research, Academy of Military Sciences of Chinese People's Liberation Army,Changchun 130062,China
  • Online:2010-05-01 Published:2010-05-01

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Abstract:

Aiming at H1N1 gene and starting from the point of RNAi, siRNA prediction is conducted by means of multicharacters analyses, such as sequence and structure. First 46 viral sequence's PA fragments in year 2009 are analyzed. Then the siRNA target genes with strong ability of interference are selected on the basis of the secondary structure of siRNA target sequence. Our research reveals that the outbreaking H1N1 virus in 2009 is characterized by steady heredity, high sequence conservativeness, uniform siRNA target gene sequence, and high conservative structure. This method can be employed to choose the possible siRNA and obtain less but more valuable siRNA target genes by further sifting. It provides a new idea for the design of complex sequence siRNA, and it is of instructional significance for optimal design of siRNA. The research is helpful to the study of H1N1 treatment by RNAi.

Key words: bioinformatics, RNA interfering, small interfering RNA, secondary structure

CLC Number: 

  • TP31
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