Cargando…

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 K(a_virus_T)) and the probability, p(virogenesis), of the virus replicating after entry...

Descripción completa

Detalles Bibliográficos
Autor principal: Gale, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642839/
https://www.ncbi.nlm.nih.gov/pubmed/34901357
http://dx.doi.org/10.1016/j.mran.2021.100198
_version_ 1784609754237108224
author Gale, Paul
author_facet Gale, Paul
author_sort Gale, Paul
collection PubMed
description 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(a_virus_T)) and the probability, p(virogenesis), 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(a_virus_T) = 3.53 × 10(17) M(−1) is calculated for SARS-CoV-2 from the IC(50) for inhibition by UFH of SARS-CoV-2 plaque formation in cell culture together with the dissociation constant K(VI) of 0.73 × 10(−10) M reported for heparin binding to SARS-CoV-2 SGP trimer. Such a high K(a_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 K(a_virus_T) by orders of magnitude by making the entropy change (ΔS(a_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 IC(50) of 33 μg/cm(3) 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(50) 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(3) only decreases infectivity by 31-fold. Practicable approaches to target and decrease ΔS(a_immob) for respiratory viruses should therefore be considered. The combination of decreasing ΔS(a_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 (M(pro)) for which the decrease in p(virogenesis) 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(pro) with dissociation constant K(i). 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(a_virus_T) here.
format Online
Article
Text
id pubmed-8642839
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-86428392021-12-06 Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses. Gale, Paul Microb Risk Anal Article 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(a_virus_T)) and the probability, p(virogenesis), 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(a_virus_T) = 3.53 × 10(17) M(−1) is calculated for SARS-CoV-2 from the IC(50) for inhibition by UFH of SARS-CoV-2 plaque formation in cell culture together with the dissociation constant K(VI) of 0.73 × 10(−10) M reported for heparin binding to SARS-CoV-2 SGP trimer. Such a high K(a_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 K(a_virus_T) by orders of magnitude by making the entropy change (ΔS(a_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 IC(50) of 33 μg/cm(3) 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(50) 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(3) only decreases infectivity by 31-fold. Practicable approaches to target and decrease ΔS(a_immob) for respiratory viruses should therefore be considered. The combination of decreasing ΔS(a_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 (M(pro)) for which the decrease in p(virogenesis) 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(pro) with dissociation constant K(i). 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(a_virus_T) here. Elsevier B.V. 2022-08 2021-12-04 /pmc/articles/PMC8642839/ /pubmed/34901357 http://dx.doi.org/10.1016/j.mran.2021.100198 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Gale, Paul
Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title_full Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title_fullStr Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title_full_unstemmed Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title_short Using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: Theoretical application to SARS-CoV-2 and other viruses.
title_sort using thermodynamic equilibrium models to predict the effect of antiviral agents on infectivity: theoretical application to sars-cov-2 and other viruses.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642839/
https://www.ncbi.nlm.nih.gov/pubmed/34901357
http://dx.doi.org/10.1016/j.mran.2021.100198
work_keys_str_mv AT galepaul usingthermodynamicequilibriummodelstopredicttheeffectofantiviralagentsoninfectivitytheoreticalapplicationtosarscov2andotherviruses