长非编码RNA序列结构特征信息挖掘及其预测方法研究

长非编码RNA (LncRNA) 是亟待挖掘的生物宝库。计算方法和转录组测序技术RNA-seq的结合极大地促进了LncRNA的发现和功能研究。目前，已发现的潜在LncRNA 数量向着百万量级靠近，实验证实的LncRNA也达到了千量级，而且在快速增长。这为揭示LncRNA序列和结构特征创造了重要条件。本项目重点：（1）建立实验证实多物种LncRNA数据库；（2）发展LncRNA序列的几何分析方法、RNA二级结构预测方法以及基于知识的RNA统计势函数，并结合分子动力学模拟挖掘LncRNA的序列、二级结构和三级结构的特征信息；（3）基于LncRNA序列和结构特征信息的综合分析和新认识构建新的LncRNA预测器；（4）基于RNA-seq和计算方法对甲状腺癌相关LncRNA进行研究。本项目对LncRNA的发现和功能认识具有重要理论意义，并对甲状腺癌的致病机制和精准诊治具有重要的实际意义。

The long non-coding RNA (LncRNA) is a biological treasure waiting to be discovered. The calculation methods combined with transcriptome sequencing (RNA-seq) greatly have promoted the discovery and functional research of LncRNA. Now, millions of LncRNAs are found, as well as thousands of LncRNAs supported by the experiment, and the numbers of them are growing fast. This is favorable for deeply finding the important basic characteristics of sequence, secondary and tertiary structures of LncRNAs. Therefore, this project mainly focuses on the following studies: (1) Building the database of experimental supported LncRNAs (ESLncRNAs) based on the existed databases and the experiment of LncRNAs; (2) Developing geometric analysis method of characteristics of LncRNA sequence, prediction methods of RNA structure parameters such as secondary structure and main chain dihedral angle, and the statistical potential function basing on the knowledge of RNA，ecavating the new characteristic information of LncRNA sequence, secondary structure and tertiary structure of LncRNA combining with molecular dynamics simulation; (3) Building a new predictor of LncRNA based on the new knowledge of characteristics of sequence and structures of LncRNAs; (4) By combining RNA-seq with calculation method, we hope to find new LncRNAs related with thyroid cancer. This project has important scientific significance in identifying new LncRNA systematically and knowing its biological functions, and also has important practical significance in the pathogenic mechanism and accurate diagnosis and treatment of thyroid cancer.