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A novel logical model of COVID-19 intracellular infection to support therapies development
In this paper, a logical-based mathematical model of the cellular pathways involved in the COVID-19 infection has been developed to study various drug treatments (single or in combination), in different illness scenarios, providing insights into their mechanisms of action. Drug simulations suggest t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462742/ https://www.ncbi.nlm.nih.gov/pubmed/36037223 http://dx.doi.org/10.1371/journal.pcbi.1010443 |
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author | Piretto, Elena Selvaggio, Gianluca Bragantini, Damiano Domenici, Enrico Marchetti, Luca |
author_facet | Piretto, Elena Selvaggio, Gianluca Bragantini, Damiano Domenici, Enrico Marchetti, Luca |
author_sort | Piretto, Elena |
collection | PubMed |
description | In this paper, a logical-based mathematical model of the cellular pathways involved in the COVID-19 infection has been developed to study various drug treatments (single or in combination), in different illness scenarios, providing insights into their mechanisms of action. Drug simulations suggest that the effects of single drugs are limited, or depending on the scenario counterproductive, whereas better results appear combining different treatments. Specifically, the combination of the anti-inflammatory Baricitinib and the anti-viral Remdesivir showed significant benefits while a stronger efficacy emerged from the triple combination of Baricitinib, Remdesivir, and the corticosteroid Dexamethasone. Together with a sensitivity analysis, we performed an analysis of the mechanisms of the drugs to reveal their impact on molecular pathways. |
format | Online Article Text |
id | pubmed-9462742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94627422022-09-10 A novel logical model of COVID-19 intracellular infection to support therapies development Piretto, Elena Selvaggio, Gianluca Bragantini, Damiano Domenici, Enrico Marchetti, Luca PLoS Comput Biol Research Article In this paper, a logical-based mathematical model of the cellular pathways involved in the COVID-19 infection has been developed to study various drug treatments (single or in combination), in different illness scenarios, providing insights into their mechanisms of action. Drug simulations suggest that the effects of single drugs are limited, or depending on the scenario counterproductive, whereas better results appear combining different treatments. Specifically, the combination of the anti-inflammatory Baricitinib and the anti-viral Remdesivir showed significant benefits while a stronger efficacy emerged from the triple combination of Baricitinib, Remdesivir, and the corticosteroid Dexamethasone. Together with a sensitivity analysis, we performed an analysis of the mechanisms of the drugs to reveal their impact on molecular pathways. Public Library of Science 2022-08-29 /pmc/articles/PMC9462742/ /pubmed/36037223 http://dx.doi.org/10.1371/journal.pcbi.1010443 Text en © 2022 Piretto et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Piretto, Elena Selvaggio, Gianluca Bragantini, Damiano Domenici, Enrico Marchetti, Luca A novel logical model of COVID-19 intracellular infection to support therapies development |
title | A novel logical model of COVID-19 intracellular infection to support therapies development |
title_full | A novel logical model of COVID-19 intracellular infection to support therapies development |
title_fullStr | A novel logical model of COVID-19 intracellular infection to support therapies development |
title_full_unstemmed | A novel logical model of COVID-19 intracellular infection to support therapies development |
title_short | A novel logical model of COVID-19 intracellular infection to support therapies development |
title_sort | novel logical model of covid-19 intracellular infection to support therapies development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462742/ https://www.ncbi.nlm.nih.gov/pubmed/36037223 http://dx.doi.org/10.1371/journal.pcbi.1010443 |
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