Abstract

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.

Details

Title
Mechanistic modeling of the SARS-CoV-2 disease map
Author
Kinza Rian; Esteban-Medina, Marina; Hidalgo, Marta R; Çubuk, Cankut; Falco, Matias M; Loucera, Carlos; Gunyel, Devrim; Ostaszewski, Marek; Peña-Chilet, María; Dopazo, Joaquín  VIAFID ORCID Logo 
Pages
1-8
Section
Short report
Publication year
2021
Publication date
2021
Publisher
BioMed Central
e-ISSN
17560381
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2490888707
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.