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Mechanistic modeling of the SARS-CoV-2 disease map
Here we present a web interface that implements a comprehensive mechanistic model of the SARS-CoV-2 disease map. In this framework, the detailed activity of the human signaling circuits related to the viral infection, covering from the entry and replication mechanisms to the downstream consequences...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817765/ https://www.ncbi.nlm.nih.gov/pubmed/33478554 http://dx.doi.org/10.1186/s13040-021-00234-1 |
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author | Rian, Kinza Esteban-Medina, Marina Hidalgo, Marta R. Çubuk, Cankut Falco, Matias M. Loucera, Carlos Gunyel, Devrim Ostaszewski, Marek Peña-Chilet, María Dopazo, Joaquín |
author_facet | Rian, Kinza Esteban-Medina, Marina Hidalgo, Marta R. Çubuk, Cankut Falco, Matias M. Loucera, Carlos Gunyel, Devrim Ostaszewski, Marek Peña-Chilet, María Dopazo, Joaquín |
author_sort | Rian, Kinza |
collection | PubMed |
description | Here we present a web interface that implements a comprehensive mechanistic model of the SARS-CoV-2 disease map. In this framework, the detailed activity of the human signaling circuits related to the viral infection, covering from the entry and replication mechanisms to the downstream consequences as inflammation and antigenic response, can be inferred from gene expression experiments. Moreover, the effect of potential interventions, such as knock-downs, or drug effects (currently the system models the effect of more than 8000 DrugBank drugs) can be studied. This freely available tool not only provides an unprecedentedly detailed view of the mechanisms of viral invasion and the consequences in the cell but has also the potential of becoming an invaluable asset in the search for efficient antiviral treatments. |
format | Online Article Text |
id | pubmed-7817765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78177652021-01-21 Mechanistic modeling of the SARS-CoV-2 disease map Rian, Kinza Esteban-Medina, Marina Hidalgo, Marta R. Çubuk, Cankut Falco, Matias M. Loucera, Carlos Gunyel, Devrim Ostaszewski, Marek Peña-Chilet, María Dopazo, Joaquín BioData Min Short Report Here we present a web interface that implements a comprehensive mechanistic model of the SARS-CoV-2 disease map. In this framework, the detailed activity of the human signaling circuits related to the viral infection, covering from the entry and replication mechanisms to the downstream consequences as inflammation and antigenic response, can be inferred from gene expression experiments. Moreover, the effect of potential interventions, such as knock-downs, or drug effects (currently the system models the effect of more than 8000 DrugBank drugs) can be studied. This freely available tool not only provides an unprecedentedly detailed view of the mechanisms of viral invasion and the consequences in the cell but has also the potential of becoming an invaluable asset in the search for efficient antiviral treatments. BioMed Central 2021-01-21 /pmc/articles/PMC7817765/ /pubmed/33478554 http://dx.doi.org/10.1186/s13040-021-00234-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Short Report Rian, Kinza Esteban-Medina, Marina Hidalgo, Marta R. Çubuk, Cankut Falco, Matias M. Loucera, Carlos Gunyel, Devrim Ostaszewski, Marek Peña-Chilet, María Dopazo, Joaquín Mechanistic modeling of the SARS-CoV-2 disease map |
title | Mechanistic modeling of the SARS-CoV-2 disease map |
title_full | Mechanistic modeling of the SARS-CoV-2 disease map |
title_fullStr | Mechanistic modeling of the SARS-CoV-2 disease map |
title_full_unstemmed | Mechanistic modeling of the SARS-CoV-2 disease map |
title_short | Mechanistic modeling of the SARS-CoV-2 disease map |
title_sort | mechanistic modeling of the sars-cov-2 disease map |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817765/ https://www.ncbi.nlm.nih.gov/pubmed/33478554 http://dx.doi.org/10.1186/s13040-021-00234-1 |
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