Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Paul Gale
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引用次数: 25

Abstract

Thermodynamic equilibrium models predict the infectivity of novel and emerging viruses using molecular data including the binding affinity of the virus to the host cell (as represented by the association constant Ka_virus_T) and the probability, pvirogenesis, of the virus replicating after entry to the cell. Here those models are adapted based on the principles of ligand binding to macromolecules to assess the effect on virus infectivity of inhibitor molecules which target specific proteins of the virus. Three types of inhibitor are considered using the thermodynamic equilibrium model for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of the human lung with parameters for the strength and nature of the interaction between the target virus protein and the inhibitor molecule. The first is competitive inhibition of the SARS-CoV-2 spike glycoprotein (SGP) trimer binding to its human angiotensin converting enzyme 2 (ACE2) receptor by unfractionated heparin (UFH). Using a novel approach presented here, a value of Ka_virus_T = 3.53 × 1017 M−1 is calculated for SARS-CoV-2 from the IC50 for inhibition by UFH of SARS-CoV-2 plaque formation in cell culture together with the dissociation constant KVI of 0.73 × 10−10 M reported for heparin binding to SARS-CoV-2 SGP trimer. Such a high Ka_virus_T limits the effectiveness of competitive inhibitors such as UFH. The second is the attachment of a nanoparticle such as a zinc oxide tetrapod (ZnOT) to the virus shell as for herpes simplex virus (HSV). The increase in molecular weight through ZnOT attachment is predicted to decrease Ka_virus_T by orders of magnitude by making the entropy change (ΔSa_immob) on immobilisation of the ZnOT:virus complex on cell binding more negative than for the virus alone. According to the model, ZnOT acts synergistically with UFH at the IC50 of 33 μg/cm3 which together decrease viral infectivity by 61,000-fold compared to the two-fold and three-fold decreases predicted for UFH alone at the IC50 and for ZnOT alone respectively. According to the model here, UFH alone at its peak deliverable dose to the lung of 1,000 μg/cm3 only decreases infectivity by 31-fold. Practicable approaches to target and decrease ΔSa_immob for respiratory viruses should therefore be considered. The combination of decreasing ΔSa_immob together with blocking the interaction of virus surface protein with its host cell receptor may achieve synergistic effects for faecal-oral viruses and HSV. The third is reversible noncompetitive inhibition of the viral main protease (Mpro) for which the decrease in pvirogenesis is assumed to be proportional to the decrease in enzyme activity as predicted by enzyme kinetic equations for a given concentration of inhibitor which binds to Mpro with dissociation constant Ki. Virologists reporting viral inhibition studies are urged to report the concentration of cells in the cell culture experiment as this is a key parameter in estimating Ka_virus_T here.

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利用热力学平衡模型预测抗病毒药物对传染性的影响:在SARS-CoV-2和其他病毒中的理论应用
热力学平衡模型利用分子数据预测新型病毒和新出现病毒的传染性,包括病毒与宿主细胞的结合亲和力(由关联常数Ka_virus_T表示)和病毒进入细胞后复制的概率。在这里,这些模型是基于配体与大分子结合的原理来评估针对病毒特定蛋白质的抑制剂分子对病毒感染性的影响。利用SARS-CoV-2感染人肺的热力学平衡模型,结合靶病毒蛋白与抑制剂分子相互作用的强度和性质参数,考虑了三种抑制剂。第一个是未分离肝素(UFH)竞争性抑制SARS-CoV-2刺突糖蛋白(SGP)三聚体与其人血管紧张素转换酶2 (ACE2)受体的结合。利用本文提出的新方法,从细胞培养中UFH抑制SARS-CoV-2斑块形成的IC50中计算出SARS-CoV-2的Ka_virus_T = 3.53 × 1017 M−1,同时报道肝素与SARS-CoV-2 SGP三聚体结合的解离常数KVI为0.73 × 10−10 M。如此高的Ka_virus_T限制了竞争抑制剂如UFH的有效性。第二种是将纳米颗粒,如氧化锌四足体(ZnOT)附着在病毒外壳上,如单纯疱疹病毒(HSV)。通过ZnOT附着增加分子质量,预计会使ZnOT:病毒复合物固定在细胞结合上的熵变(ΔSa_immob)比单独的病毒更负,从而使Ka_virus_T降低几个数量级。根据该模型,在IC50为33 μg/cm3时,ZnOT与UFH协同作用,共同降低病毒传染性61,000倍,而单独使用UFH和单独使用ZnOT的IC50分别降低2倍和3倍。根据这里的模型,仅UFH对肺的最高可给药剂量为1000 μg/cm3时,其传染性仅降低31倍。因此,应考虑针对和减少呼吸道病毒ΔSa_immob的可行方法。降低ΔSa_immob与阻断病毒表面蛋白与其宿主细胞受体的相互作用相结合,可实现对粪口病毒与HSV的协同作用。第三种是对病毒主蛋白酶(Mpro)的可逆非竞争性抑制,根据酶动力学方程预测,在给定浓度的抑制剂(以解离常数Ki与Mpro结合)下,病毒发生的减少与酶活性的降低成正比。报告病毒抑制研究的病毒学家被敦促报告细胞培养实验中的细胞浓度,因为这是估计Ka_virus_T的关键参数。
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
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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