{"title":"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","authors":"Paul Gale","doi":"10.1016/j.mran.2021.100198","DOIUrl":null,"url":null,"abstract":"<div><p>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 K<sub>a_virus_T</sub>) and the probability, p<sub>virogenesis</sub>, 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 K<sub>a_virus_T</sub> = 3.53 × 10<sup>17</sup> M<sup>−1</sup> is calculated for SARS-CoV-2 from the IC<sub>50</sub> for inhibition by UFH of SARS-CoV-2 plaque formation in cell culture together with the dissociation constant K<sub>VI</sub> of 0.73 × 10<sup>−10</sup> M reported for heparin binding to SARS-CoV-2 SGP trimer. Such a high K<sub>a_virus_T</sub> 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 K<sub>a_virus_T</sub> by orders of magnitude by making the entropy change (ΔS<sub>a_immob</sub>) 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 IC<sub>50</sub> of 33 μg/cm<sup>3</sup> which together decrease viral infectivity by 61,000-fold compared to the two-fold and three-fold decreases predicted for UFH alone at the IC<sub>50</sub> and for ZnOT alone respectively. According to the model here, UFH alone at its peak deliverable dose to the lung of 1,000 μg/cm<sup>3</sup> only decreases infectivity by 31-fold. Practicable approaches to target and decrease ΔS<sub>a_immob</sub> for respiratory viruses should therefore be considered. The combination of decreasing ΔS<sub>a_immob</sub> 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 (M<sup>pro</sup>) for which the decrease in p<sub>virogenesis</sub> 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 M<sup>pro</sup> with dissociation constant K<sub>i</sub>. 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 K<sub>a_virus_T</sub> here.</p></div>","PeriodicalId":48593,"journal":{"name":"Microbial Risk Analysis","volume":"21 ","pages":"Article 100198"},"PeriodicalIF":3.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642839/pdf/","citationCount":"25","resultStr":"{\"title\":\"Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.\",\"authors\":\"Paul Gale\",\"doi\":\"10.1016/j.mran.2021.100198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 K<sub>a_virus_T</sub>) and the probability, p<sub>virogenesis</sub>, 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 K<sub>a_virus_T</sub> = 3.53 × 10<sup>17</sup> M<sup>−1</sup> is calculated for SARS-CoV-2 from the IC<sub>50</sub> for inhibition by UFH of SARS-CoV-2 plaque formation in cell culture together with the dissociation constant K<sub>VI</sub> of 0.73 × 10<sup>−10</sup> M reported for heparin binding to SARS-CoV-2 SGP trimer. Such a high K<sub>a_virus_T</sub> 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 K<sub>a_virus_T</sub> by orders of magnitude by making the entropy change (ΔS<sub>a_immob</sub>) 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 IC<sub>50</sub> of 33 μg/cm<sup>3</sup> which together decrease viral infectivity by 61,000-fold compared to the two-fold and three-fold decreases predicted for UFH alone at the IC<sub>50</sub> and for ZnOT alone respectively. According to the model here, UFH alone at its peak deliverable dose to the lung of 1,000 μg/cm<sup>3</sup> only decreases infectivity by 31-fold. Practicable approaches to target and decrease ΔS<sub>a_immob</sub> for respiratory viruses should therefore be considered. The combination of decreasing ΔS<sub>a_immob</sub> 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 (M<sup>pro</sup>) for which the decrease in p<sub>virogenesis</sub> 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 M<sup>pro</sup> with dissociation constant K<sub>i</sub>. 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 K<sub>a_virus_T</sub> here.</p></div>\",\"PeriodicalId\":48593,\"journal\":{\"name\":\"Microbial Risk Analysis\",\"volume\":\"21 \",\"pages\":\"Article 100198\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642839/pdf/\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbial Risk Analysis\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352352221000402\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Risk Analysis","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352352221000402","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
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.
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.