Strain Wars: Competitive interactions between SARS-CoV-2 strains are explained by Gibbs energy of antigen-receptor binding

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Marko Popovic , Marta Popovic
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引用次数: 22

Abstract

Since the beginning of the COVID-19 pandemic, SARS-CoV-2 has mutated several times into new strains, with an increased infectivity. Infectivity of SARS-CoV-2 strains depends on binding affinity of the virus to its host cell receptor. In this paper, we quantified the binding affinity using Gibbs energy of binding and analyzed the competition between SARS-CoV-2 strains as an interference phenomenon. Gibbs energies of binding were calculated for several SARS-SoV-2 strains, including Hu-1 (wild type), B.1.1.7 (alpha), B.1.351 (beta), P.1 (Gamma), B.1.36 and B.1.617 (Delta). The least negative Gibbs energy of binding is that of Hu-1 strain, -37.97 kJ/mol. On the other hand, the most negative Gibbs energy of binding is that of the Delta strain, -49.50 kJ/mol. We used the more negative Gibbs energy of binding to explain the increased infectivity of newer SARS-CoV-2 strains compared to the wild type. Gibbs energies of binding was found to decrease chronologically, with appearance of new strains. The ratio of Gibbs energies of binding of mutated strains and wild type was used to define a susceptibility coefficient, which is an indicator of viral interference, where a virus can prevent or partially inhibit infection with another virus.

Abstract Image

菌株战争:SARS-CoV-2菌株之间的竞争性相互作用可以用抗原受体结合的吉布斯能量来解释
自COVID-19大流行开始以来,SARS-CoV-2已多次突变为新的毒株,传染性增强。SARS-CoV-2毒株的传染性取决于该病毒与其宿主细胞受体的结合亲和力。本文利用吉布斯结合能对其结合亲和力进行量化,并分析了SARS-CoV-2株间的竞争是一种干扰现象。计算了几种SARS-SoV-2菌株的吉布斯结合能,包括Hu-1(野生型)、B.1.1.7 (α)、B.1.351 (β)、P.1 (γ)、B.1.36和B.1.617 (δ)。菌株Hu-1的负吉布斯结合能最小,为-37.97 kJ/mol。另一方面,δ应变的负吉布斯结合能最大,为-49.50 kJ/mol。我们使用更多的负吉布斯结合能来解释与野生型相比,新SARS-CoV-2菌株的传染性增加。随着新菌株的出现,吉布斯结合能按时间顺序减小。利用突变株与野生型的吉布斯结合能的比值来确定易感系数,这是病毒干扰的指标,即病毒可以阻止或部分抑制另一种病毒的感染。
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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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