中国寄生虫数据库（ChinaPathDB）的数据准备及相关生物信息学分析

发布时间：2019-01-06 10:37

【摘要】：本论文以中国特有的寄生虫数据库(ChinaPathDB)的构建为依托,收集整理数据库的基础数据,并基于这些数据进行深入的生物信息学分析。收集的数据类型主要有寄生虫相关的转录组数据,对这些数据进行了详细的归纳总结。基于这些基础数据,从三个方面出发,进行生物信息学上的分析。具体来说,首先,基于秀丽线虫现有的蛋白蛋白相互作用数据,预测了日本血吸虫和曼氏血吸虫的蛋白相互作用网络,为寄生虫数据库的使用者对蛋白蛋白相互作用的研究带来了便利。其次,预测了微小隐孢子虫、恶性疟原虫、日本血吸虫和曼氏血吸虫四个物种的受体(包括G蛋白偶联的受体、核受体、阮病毒蛋白、钾离子通道),完成了数据库受体预测这一块的工作。最后,对日本血吸虫和曼氏血吸虫的血红蛋白降解途径进行分析,从序列和结构两个角度来分析血吸虫的血红蛋白降解情况。这部分的研究相对独立,依据疟原虫的血红蛋白降解途径为基础,预测出血吸虫的血红蛋白降解途径,并对降解途径上的关键酶的保守结构域和底物结构进行预测,研究酶与底物在三维结构上的相互作用关系。
[Abstract]:Based on the construction of Chinese parasite database (ChinaPathDB), this paper collects and collates the basic data of the database, and makes a deep bioinformatics analysis based on these data. The main types of data collected are parasita-related transcriptional data, which are summarized in detail. Based on these basic data, the bioinformatics analysis is carried out from three aspects. Specifically, first of all, based on the existing protein interaction data, the protein interaction network between Schistosoma japonicum and Schistosoma mansoni is predicted. This facilitates the study of protein interactions by users of parasite databases. Secondly, the receptors of Cryptosporidium minimus, Plasmodium falciparum, Schistosoma japonicum and Schistosoma mansoni were predicted (including G protein-coupled receptor, nuclear receptor, Ruan virus protein, potassium channel). The work of database receptor prediction was completed. Finally, the degradation pathway of hemoglobin of Schistosoma japonicum and Schistosoma mansoni was analyzed, and the degradation of hemoglobin of Schistosoma japonicum was analyzed from the point of view of sequence and structure. Based on the hemoglobin degradation pathway of Plasmodium, the hemoglobin degradation pathway of Schistosoma japonicum was predicted, and the conserved domain and substrate structure of the key enzymes in the degradation pathway were predicted. The interaction between enzyme and substrate in three dimensional structure was studied.
【学位授予单位】：华东理工大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：R38

【共引文献】