大理大学学报 ›› 2022, Vol. 7 ›› Issue (8): 41-45.

• 基础医学 • 上一篇    下一篇

鸟分枝杆菌MAV_2927基因编码蛋白质的生物信息学分析

李祥芳,丁寿鹏,高婧华,吴利先*   

  1. (大理大学基础医学院,云南大理 671000

  • 收稿日期:2021-10-14 修回日期:2021-11-11 出版日期:2022-08-15 发布日期:2022-09-16
  • 通讯作者: 吴利先,教授,博士,E-mail:w_lixian@163.com。
  • 作者简介:李祥芳,硕士研究生,主要从事非结核分枝杆菌致病机制研究。
  • 基金资助:
    国家自然科学基金项目(81760357)

Bioinformatics Analysis of the Protein Encoded by the MAV_2927 Gene of Mycobacterium avium

Li XiangfangDing ShoupengGao JinghuaWu Lixian*   

  1. Pre-clinical CollegeDali UniversityDaliYunnan 671000China

  • Received:2021-10-14 Revised:2021-11-11 Online:2022-08-15 Published:2022-09-16

摘要: 目的:用生物信息学分析鸟分枝杆菌(Mycobacterium avium,MAV)致病基因MAV_2927编码的蛋白质。方法:从NCBI数据库获取MAV_2927基因编码蛋白质的基因、氨基酸序列;ProtParam tool、SOPMA、SWISS-MODEL软件分析蛋白质的理化性质及二、三级结构;PortScale、SignalP 4.0 Server、TMHMM Server 2.0软件分析蛋白质的亲疏水性、信号肽、跨膜区。结果:MAV_2927基因编码蛋白质含43个氨基酸,相对分子量4.213 kDa,等电点4.72,分子式C183H284N48O62S2。结论:MAV_2927编码蛋白质含多个T细胞、B细胞抗原表位,表明其可能是感染过程中与宿主相互作用有关的潜在致病因子,可为研究MAC的致病性和临床治疗提供基础。

关键词: 鸟分枝杆菌, MAV_2927, 生物信息学分析, 致病机制

Abstract: Objective: To analyze the protein encoded by the pathogenic gene MAV_2927 of Mycobacterium avium(MAV) by using bioinformatics. Methods: The gene and amino acid sequence of the protein encoded by the MAV_2927 gene were obtained from NCBI;Protparam tool, SOPMA, SWISS-MODEL were applied to analyze the physical and chemical properties and secondary and tertiary structure of proteins;PortScale, SignalIP 4.0 Server, TMHMM Server 2.0 were used to analyze hydrophilicity and hydrophobicity, signal peptide, and transmembrane region. Results:The protein encoded by the MAV_2927 gene contains 43 amino acids, has a relative molecular weight of 4.213 kDa, an isoelectric point of 4.72, and a molecular formula of C183H284N48O62S2. Conclusion:The protein encoded by MAV_2927 contains multiple T and B cell epitopes, indicating that it may be a potential pathogenic factor related to the host interaction during the infection process, and can provide a basis for studying the pathogenicity of MAC and clinical treatment.

Key words: Mycobacterium avium, MAV_2927, bioinformatics analysis, pathogenesis

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