为什么埃博拉病毒不会引起像SARS-CoV-2这样的大流行?

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Marko Popovic
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引用次数: 12

摘要

埃博拉病毒是病毒性疾病中最危险、最具传染性和最致命的病因之一。然而,埃博拉病毒从未在人群中广泛传播,也从未导致大流行。为什么?揭示病毒与宿主相互作用的生物热力学背景的机制生物物理模型可以帮助我们了解埃博拉病毒病(早期称为埃博拉出血热)的发病机制。本文首次报道了经验公式、生物合成热力学性质(包括病毒在易感宿主内增殖的驱动力)、结合常数和结合热力学性质。将埃博拉病毒的热力学数据与SARS-CoV-2的数据进行比较,以解释为什么SARS-CoV-2引起了大流行,而埃博拉病毒仍处于局部流行水平。埃博拉病毒的经验公式为ch1.5690 o0.3281 n0.2786 p0.00173 s0.00258。埃博拉病毒核衣壳生物合成的标准吉布斯能为-151.59 kJ/C-mol。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why doesn't Ebola virus cause pandemics like SARS-CoV-2?

Ebola virus is among the most dangerous, contagious and deadly etiological causes of viral diseases. However, Ebola virus has never extensively spread in human population and never have led to a pandemic. Why? The mechanistic biophysical model revealing the biothermodynamic background of virus-host interaction) could help us to understand pathogenesis of Ebola virus disease (earlier known as the Ebola hemorrhagic fever). In this paper for the first time the empirical formula, thermodynamic properties of biosynthesis (including the driving force of virus multiplication in the susceptible host), binding constant and thermodynamic properties of binding are reported. Thermodynamic data for Ebola virus were compared with data for SARS-CoV-2 to explain why SARS-CoV-2 has caused a pandemic, while Ebola remains on local epidemic level. The empirical formula of the Ebola virus was found to be CH1.569O0.3281N0.2786P0.00173S0.00258. Standard Gibbs energy of biosynthesis of the Ebola virus nucleocapsid is -151.59 kJ/C-mol.

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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
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