PT  - JOURNAL ARTICLE
AU  - Kinza Rian
AU  - Marina Esteban-Medina
AU  - Marta R. Hidalgo
AU  - Cankut Çubuk
AU  - Matias M. Falco
AU  - Carlos Loucera
AU  - Devrim Gunyel
AU  - Marek Ostaszewski
AU  - María Peña-Chilet
AU  - Joaquín Dopazo
TI  - Mechanistic modeling of the SARS-CoV-2 disease map
AID  - 10.1101/2020.04.12.025577
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.04.12.025577
4099  - http://biorxiv.org/content/early/2020/04/12/2020.04.12.025577.short
4100  - http://biorxiv.org/content/early/2020/04/12/2020.04.12.025577.full
AB  - Here we present a web interface that implements a comprehensive mechanistic model of the SARS-CoV-2 disease map in which the detailed activity of the human signaling circuits related to the viral infection and the different antiviral responses, including immune and inflammatory activities, can be inferred from gene expression experiments. Moreover, given to the mechanistic properties of the model, the effect of potential interventions, such as knock-downs, over-expression or drug effects (currently the system models the effect of more than 8000 DrugBank drugs) can be studied in specific conditions. By providing a holistic, systems biology approach to the understanding of the complexities of the viral infection process, this tool will become an important asset in the search for efficient antiviral treatments.The tool is freely available at: http://hipathia.babelomics.org/covid19/Competing Interest StatementThe authors have declared no competing interest.