多杀性巴氏杆菌一种假设蛋白的功能表征揭示了一种新的s -腺苷甲硫氨酸依赖的甲基转移酶活性。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Md Habib Ullah Masum, Sultana Rajia, Uditi Paul Bristi, Mir Salma Akter, Mohammad Ruhul Amin, Tushar Ahmed Shishir, Jannatul Ferdous, Firoz Ahmed, Md Mizanur Rahaman, Otun Saha
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引用次数: 0

摘要

基因组测序现在可能在几周内完成,导致“假设”蛋白质(HP)的涌入,其活动在GenBank中仍然是一个谜。包含在这些基因中的信息迅速变得突出。因此,我们选择仔细研究HP (AFF25514.1;多杀性巴氏杆菌(PM)亚种的246个残基。多杀性株HN06。通过研究这种蛋白的功能,可能会对细菌适应新环境和代谢变化有更深入的了解。PM HN06 2293基因编码的碱性细胞质蛋白分子量为28352.60 Da,等电点(pI)为9.18,总体平均亲水性约为-0.565。其功能域之一tRNA(腺嘌呤(37)-N6)-甲基转移酶TrmO,是s -腺苷蛋氨酸(SAM)依赖的甲基转移酶(MTase),这表明它属于第八类SAM依赖的MTase家族。HHpred和I-TASSER模型所代表的三级结构是完美的。我们使用计算的蛋白质表面形貌图谱(CASTp)和FTSite服务器预测模型的活性位点,然后使用PyMOL和BIOVIA Discovery Studio在三维(3D)中显示它。根据分子对接(MD)结果,我们知道HP与tRNA甲基化过程中的关键代谢物SAM和s -腺苷型同型半胱氨酸(SAH)相互作用,结合亲和度分别为7.4和7.5 kcal/mol。对接物的分子动力学模拟(MDS),只包括适度的结构调整,证实了SAM和SAH对HP的强结合亲和力。因此,多序列比对(MSA)、MD和分子动力学建模的发现提供了HP可能作为sam依赖性MTase的证据。这些计算机数据表明,所调查的HP可能被用作巴氏杆菌感染调查和开发治疗人畜共患巴氏杆菌病的药物的有用辅助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In Silico Functional Characterization of a Hypothetical Protein From <i>Pasteurella Multocida</i> Reveals a Novel <i>S</i>-Adenosylmethionine-Dependent Methyltransferase Activity.

In Silico Functional Characterization of a Hypothetical Protein From <i>Pasteurella Multocida</i> Reveals a Novel <i>S</i>-Adenosylmethionine-Dependent Methyltransferase Activity.

In Silico Functional Characterization of a Hypothetical Protein From <i>Pasteurella Multocida</i> Reveals a Novel <i>S</i>-Adenosylmethionine-Dependent Methyltransferase Activity.

In Silico Functional Characterization of a Hypothetical Protein From Pasteurella Multocida Reveals a Novel S-Adenosylmethionine-Dependent Methyltransferase Activity.

Genomes may now be sequenced in a matter of weeks, leading to an influx of "hypothetical" proteins (HP) whose activities remain a mystery in GenBank. The information included inside these genes has quickly grown in prominence. Thus, we selected to look closely at the structure and function of an HP (AFF25514.1; 246 residues) from Pasteurella multocida (PM) subsp. multocida str. HN06. Possible insights into bacterial adaptation to new environments and metabolic changes might be gained by studying the functions of this protein. The PM HN06 2293 gene encodes an alkaline cytoplasmic protein with a molecular weight of 28352.60 Da, an isoelectric point (pI) of 9.18, and an overall average hydropathicity of around -0.565. One of its functional domains, tRNA (adenine (37)-N6)-methyltransferase TrmO, is a S-adenosylmethionine (SAM)-dependent methyltransferase (MTase), suggesting that it belongs to the Class VIII SAM-dependent MTase family. The tertiary structures represented by HHpred and I-TASSER models were found to be flawless. We predicted the model's active site using the Computed Atlas of Surface Topography of Proteins (CASTp) and FTSite servers, and then displayed it in 3 dimensional (3D) using PyMOL and BIOVIA Discovery Studio. Based on molecular docking (MD) results, we know that HP interacts with SAM and S-adenosylhomocysteine (SAH), 2 crucial metabolites in the tRNA methylation process, with binding affinities of 7.4 and 7.5 kcal/mol, respectively. Molecular dynamic simulations (MDS) of the docked complex, which included only modest structural adjustments, corroborated the strong binding affinity of SAM and SAH to the HP. Evidence for HP's possible role as an SAM-dependent MTase was therefore given by the findings of Multiple sequence alignment (MSA), MD, and molecular dynamic modeling. These in silico data suggest that the investigated HP might be used as a useful adjunct in the investigation of Pasteurella infections and the development of drugs to treat zoonotic pasteurellosis.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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