论文部分内容阅读
目的应用生物信息学方法分析预测结核分枝杆菌调节蛋白RelA的结构及功能。方法从NCBI数据库获取结核分枝杆菌RelA蛋白的氨基酸序列,采用ProtParam工具预测蛋白质理化性质,采用Predict-Protein工具预测二级结构和疏水性,采用TMHMM软件包和TMpred程序对跨膜区预测,采用SignalP 4.1Server,用神经网络模型对信号肽预测,分析亚细胞定位、结构域和功能,运用SWISS-MODEL工具在线预测三维结构等。结果结核分枝杆菌RelA蛋白含有894个氨基酸,为不稳定性疏水性分泌蛋白,二级结构以螺旋结构和环状结构为主,无跨膜区,包含5个保守域,在胞浆中发挥生物学效应,调节(p)ppGpp合成。结论结核分枝杆菌RelA基因编码蛋白为不稳定性疏水性分泌蛋白,作为调节蛋白,主要参与细菌在生存压力下引起的严紧反应,调节(p)ppGpp的合成,因此可作为抗结核潜伏、持续感染治疗靶点。
Objective To analyze and predict the structure and function of Mycobacterium tuberculosis regulator RelA by bioinformatics methods. Methods The amino acid sequence of Mycobacterium tuberculosis RelA protein was obtained from the NCBI database. The ProtParam tool was used to predict the physicochemical properties of proteins. Predict-Protein was used to predict the secondary structure and hydrophobicity. The TMHMM software package and TMpred program were used to predict the transmembrane region. SignalP 4.1Server, neural network model for signal peptide prediction, analysis of subcellular localization, domains and functions, the use of SWISS-MODEL tools to predict the three-dimensional structure and so on. Results The Mycobacterium tuberculosis RelA protein contains 894 amino acids, which is an unstable hydrophobic secreted protein. The secondary structure is mainly composed of helical structure and circular structure, without transmembrane domain and contains 5 conserved domains, which play a role in the cytoplasm Biological effects, regulation (p) ppGpp synthesis. Conclusions The Mycobacterium tuberculosis RelA gene encodes an unstable hydrophobic secreted protein that acts as a regulatory protein that is primarily involved in the tight response of bacteria to survival stress and regulates the synthesis of (p) ppGpp and therefore serves as an anti-TB potential for sustained Infection treatment target.