A Novel Statistical Model for the Secondary Structure of RNA

摘要：

In this paper, a novel statistical model for the secondary structures of RNA is constructed, which is not only applicable to homo-RNA chains, but also can be easily extended to the hetero-RNA sequences by considering Watson-Crick base pairings. The main approach used here is the operator transfer matrix, whose calculation rules are simple, and can be automatically finished. Through the model, we found the conformational entropy of homo-RNA is highest, and grows linearly with chain length; but the hairpin/coil transition of homo-RNA is less cooperative than natural hetero-RNA sequences. As a typical example, we also verified the native secondary structures of microRNA UPSK is thermally stable with respect to model parameters, which we believe is a direct consequence of natures evolution.

关键词： statistical model operator matrix secondary structure of RNA

作者: Liu Hong

作者单位: Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua University,Beijing, P.R. China, 100084

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 1641-1648

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）