Synthesis of Homo-oligomer Models, Functional Characterization, and Annotation of the Virulent HP33 Protein from the Vibrio harveyi Strain of Scale Drop and Muscle Necrosis Disease

Q4 Agricultural and Biological Sciences
Sk Injamamul Islam, Saloa Sanjida, Md Akib Ferdous, Nasim Habib
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Abstract

This study used a comprehensive bioinformatic application to discover the functions of the HP33 protein, which is responsible for the scale drop and muscle necrosis disease (SDMND) in fish. The main objective of the study was to the characterization of the HP33 protein and predict the homo-oligomer models to understand the physical effect of the protein for further research. At first, multiple sequence alignment and sub-cellular localization of the HP33 were predicted by the in-silico approach. The result suggests that this putative protein clustered with another hypothetical protein, Vibrio harveyi, and is an unstable, nonpolar, and outer membrane protein. Functional analysis of the protein by Pfam, InterProScan, and SMART tools predicts that the HP has a single functional domain that may signify a cluster of biosynthetic genes. The prediction of the active site, as well as the protein-protein interaction, were also predicted in this study. Furthermore, a protein-ligand docking investigation revealed two potential therapeutic compounds (Ferroheme C, Valine) that can be effective against HP33 pathogenesis. In conclusion, the homo-oligomers model's predictions and the ab-initio docking findings will offer important information for an additional immunological investigation, which may be beneficial in a future study on SDMND prophylaxis.
降鳞和肌肉坏死病哈维氏弧菌株同源寡聚体模型的合成、功能鉴定和HP33病毒蛋白的注释
本研究采用了全面的生物信息学应用来发现HP33蛋白的功能,HP33蛋白是导致鱼类鳞片脱落和肌肉坏死病(SDMND)的原因。本研究的主要目的是对HP33蛋白进行表征,并预测同源低聚物模型,以了解该蛋白的物理效应,供进一步研究。首先,HP33的多序列比对和亚细胞定位是通过计算机模拟方法预测的。结果表明,这种假定的蛋白质与另一种假定的蛋白质哈维氏弧菌聚集在一起,是一种不稳定的、非极性的外膜蛋白。Pfam、InterProScan和SMART工具对蛋白质的功能分析预测,HP有一个单一的功能结构域,可能意味着一簇生物合成基因。本研究还预测了活性位点的预测以及蛋白质-蛋白质相互作用。此外,一项蛋白质-配体对接研究揭示了两种潜在的治疗化合物(铁血红素C、缬氨酸),它们可以有效对抗HP33的发病机制。总之,同源寡聚体模型的预测和从头开始对接的发现将为进一步的免疫学研究提供重要信息,这可能对未来的SDMND预防研究有益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genetics of Aquatic Organisms
Genetics of Aquatic Organisms Agricultural and Biological Sciences-Aquatic Science
CiteScore
0.90
自引率
0.00%
发文量
8
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