揭示尼日利亚COVID-19病毒病原体的性质:走向潜在的治疗设计和管理

Godwin Michael Ubi, E. Eyogor, P. Ekpo, J. Ebigwai, Solomon Ofem, Imaobong S. Essien, I. Ettah
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摘要

本文采用计算机和生物信息学的科学方法揭示了尼日利亚COVID-19冠状病毒株的性质。这些揭示了物理、化学和生物性质,以及等电点、进化关系、突变率和途径、分子量等属性,这些属性表明导致当前全球大流行的冠状病毒突变株非常致命,对人类构成威胁。本文以尼日利亚(COVID-19)分离物的不稳定性指数、脂肪族指数、鸟嘌呤-胞嘧啶含量、亲水性、核苷酸多样性、氨基酸侧链和半衰期为标准,揭示了该分离物在体外人网状细胞上的遗传和热稳定性状况。本文还揭示了尼日利亚和全球大流行中心中国武汉的病毒病原体在蛋白质结构、系统发育、坏角、坏键、c - β偏差、Ramachandran异常值和Molprobity评分方面的差异,并推断了菌株之间的强相关性,证实了它们的共同祖先和性质。该论文揭示,由于冠状病毒突变株的衰减系数可变和S基因突变速度快,全球针对新冠病毒的治疗和疫苗开发工作尚未取得成功。因此,本研究揭示的COVID-19的性质对于识别、设计和开发有效的治疗方法是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revealing the Nature of COVID-19 Virus Pathogen in Nigeria: Towards a Potential Therapeutic Design and Management
This paper adopted in silico and bioinformatics scientific approaches in revealing the nature of the COVID-19 coronavirus strain in Nigeria. These was revealed in terms of the physical, chemical and biological nature, as well as the isoelectric point, evolutionary relationship, mutation rate and pathway, molecular weight amongst other attributes which project the coronaviruses mutant strains causing the current global pandemic as very deadly and a threat to humanity. The paper revealed the genetic and thermal stability status of the Nigerian (COVID-19) isolate using instability index, aliphatic index, guanine – cytosine content, hydropathicity, nucleotide diversity, amino acids side chains and half-life of the isolate on in vitro human reticulocyte cells as criteria. The paper also revealed the variations in protein structures, phylogeny, bad angles, bad bonds, C-Beta deviations, Ramachandran outliers and Molprobity scores of the virus pathogen in Nigeria and that of Wuhan China, the global epicenter of the pandemic and deduced strong relationship between the strains confirming their common ancestry and nature. The paper revealed that efforts geared towards the development of suitable therapy and vaccines for the COVID-19 globally has not yet been successful due to the variable attenuation coefficients and the fast rate of the S gene mutations of the coronaviruses mutant strains. Hence, the nature of COVID-19 revealed in this study, is necessary for the identification, design and development of effective treatment.
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