转录调控是基因调控的一个重要部分。用计算方法揭示转录调控机理是研究的热点。传统的方法主要是基于DNA一维序列，而忽略了DNA三维结构对转录调控的贡献。本课题使用计算方法结合多种DNA三维结构信息到真核生物转录调控的研究中。探索物种内与物种间转录因子结合位点在DNA结构上的进化保守性问题。基于DNA结构信息，开发计算方法来查找转录因子结合位点，查找结果可以提供转录因子结合位点的DNA结构特征信息。使用贝叶斯网络建立转录因子结合位点的DNA结构特征与基因表达之间的定性映射模型，并基于该模型，进一步建立它们之间的定量调控关系。对更全面地阐明真核基因转录调控的复杂机制有重要意义，为具体了解生物细胞的代谢过程奠定基础。

Transcriptional regulation is an important part of gene regulation. Computational understanding of transcriptional regulation mechanisms is an active field of research. Conventional methods are mainly based on primary DNA sequence, and ignore the contribution of DNA three-dimensional structure to transcriptional regulation. Here, we integrate various types of DNA three-dimensional structures into the study of eukaryotic transcriptional regulation using computational methods. We investigate into the evolutionary conservation of transcription factor binding sites on DNA structure within and among species. We develop a computational method based on DNA structure information to identify transcription factor binding sites, and provide insights into the DNA structural characteristics of transcription factor binding sites. We qualitatively and quantitatively evaluate the relationship between DNA structural characteristics of transcription factor binding sites and gene expression using Bayes network. This study is critical for further elucidation of complex mechanisms of eukaryotic gene transcriptional regulation, and lays a foundation for further insights into metabolized process in eukaryotic cells.