关键词: Fusobacterium nucleatum functional annotation hypothetical proteins uncharacterized proteins virulence factors

来  源:   DOI:10.5808/gi.22065   PDF(Pubmed)

Abstract:
Fusobacterium nucleatum is a gram-negative bacteria associated with diverse infections like appendicitis and colorectal cancer. It mainly attacks the epithelial cells in the oral cavity and throat of the infected individual. It has a single circular genome of 2.7 Mb. Many proteins in F. nucleatum genome are listed as \"Uncharacterized.\" Annotation of these proteins is crucial for obtaining new facts about the pathogen and deciphering the gene regulation, functions, and pathways along with discovery of novel target proteins. In the light of new genomic information, an armoury of bioinformatic tools were used for predicting the physicochemical parameters, domain and motif search, pattern search, and localization of the uncharacterized proteins. The programs such as receiver operating characteristics determine the efficacy of the databases that have been employed for prediction of different parameters at 83.6%. Functions were successfully assigned to 46 uncharacterized proteins which included enzymes, transporter proteins, membrane proteins, binding proteins, etc. Apart from the function prediction, the proteins were also subjected to string analysis to reveal the interacting partners. The annotated proteins were also put through homology-based structure prediction and modeling using Swiss PDB and Phyre2 servers. Two probable virulent factors were also identified which could be investigated further for potential drug-related studies. The assigning of functions to uncharacterized proteins has shown that some of these proteins are important for cell survival inside the host and can act as effective drug targets.
摘要:
核梭杆菌是一种革兰氏阴性菌,与阑尾炎和结直肠癌等多种感染有关。它主要攻击感染个体口腔和咽喉中的上皮细胞。它具有2.7Mb的单个环状基因组。核仁F.基因组中的许多蛋白质被列为“未表征”。“这些蛋白质的注释对于获得有关病原体的新事实和破译基因调控至关重要,功能,以及新的靶蛋白的发现。根据新的基因组信息,一系列生物信息学工具被用来预测物理化学参数,域和主题搜索,模式搜索,和未表征蛋白质的定位。诸如接收器操作特性之类的程序将已经用于预测不同参数的数据库的功效确定为83.6%。功能被成功地分配给46个未表征的蛋白质,其中包括酶,转运蛋白,膜蛋白,结合蛋白,等。除了函数预测,蛋白质也进行了字符串分析,以揭示相互作用的伙伴。还使用SwissPDB和Phyre2服务器对注释的蛋白质进行基于同源性的结构预测和建模。还确定了两个可能的毒力因子,可以进一步研究以进行潜在的药物相关研究。将功能分配给未表征的蛋白质表明,这些蛋白质中的一些对于宿主体内的细胞存活很重要,并且可以作为有效的药物靶标。
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