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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...

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Autores principales: Rian, Kinza, Esteban-Medina, Marina, Hidalgo, Marta R., Çubuk, Cankut, Falco, Matias M., Loucera, Carlos, Gunyel, Devrim, Ostaszewski, Marek, Peña-Chilet, María, Dopazo, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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.
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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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