您的位置：首页 > 论文页面
小鼠Dlk1基因的生物信息学分析
发表时间：2017-05-15 浏览量：1890 下载量：203
| 全部作者： | 周晓婷，左永春 |
| 作者单位： | 内蒙古大学生命科学学院 |
| 摘 要： | 根据NCBI数据，研究利用MEGA及ClustalW软件对小鼠、鸭嘴兽、斑马鱼等15个不同物种的蛋白序列进行系统进化树分析和保守序列分析，从而得到不同物种间的进化关系及在进化过程中的保守区域。同时，利用SWISS-MODEL等在线软件，针对小鼠DLK1蛋白的二级及三级结构进行预测分析，初步判定小鼠DLK1蛋白结构较为简单，为进一步研究其功能奠定了一定的基础。研究也针对蛋白的一些物理性质进行了分析，利用NetPhos分析该蛋白中各氨基酸的含量，并推断出该蛋白为疏水性蛋白。由于目前对于Dlk1基因的功能研究较为全面，而对于小鼠Dlk1基因的生物信息学分析的报道较少。因此，研究着重从生物信息学方面对小鼠的Dlk1基因进行了一系列的分析，这些结果将为进一步研究小鼠Dlk1基因的调控机理提供补充说明。 |
| 关 键 词： | 生物物理学；生物信息学；Dlk1基因；序列分析；小鼠 |
| Title： | Bioinformatics analysis of mouse Dlk1 gene |
| Author： | ZHOU Xiaoting, ZUO Yongchun |
| Organization： | School of Life Sciences, Inner Mongolia University |
| Abstract： | According to the data from NCBI, we used MEGA and ClustalW to analyze the protein sequences of 15 different species, such as mice, platypus and zebrafish, so that we can get the systematic phylogenetic tree, from which we knew the evolutionary relationship between different species and the conserved region in the evolutionary process. At the same time, SWISS-MODEL and other online software were used to predict secondary and tertiary structures of mouse DLK1 protein. The structure of mouse DLK1 protein was relatively simple, which laid a foundation for further study of its function. In this paper, some physical properties of the protein were analyzed as well, and NetPhos was used to analyze amino acid contents in this protein, and we can infer that the protein was hydrophobic protein. Since the current research on the function of Dlk1 gene is more comprehensive, and there are few reports on the bioinformatics analysis of mouse Dlk1 gene. This paper focuses on a series of analysis of the Dlk1 gene from the bioinformatics, and it will provide additional information for further studies on the regulatory mechanisms of the mouse Dlk1 gene. |
| Key words： | biophysics; bioinformatics; Dlk1 gene; sequence analysis; mouse |
| 发表期数： | 2017年5月第9期 |
| 引用格式： | 周晓婷，左永春. 小鼠Dlk1基因的生物信息学分析[J]. 中国科技论文在线精品论文，2017，10（9）：940-947. |
0
评论数 0请您登录
暂无评论
下载全文
多维论文