Publication: Mechanistic modeling of the SARS-CoV-2 disease map.
dc.contributor.author | Rian, Kinza | |
dc.contributor.author | Esteban-Medina, Marina | |
dc.contributor.author | Hidalgo, Marta R | |
dc.contributor.author | Çubuk, Cankut | |
dc.contributor.author | Falco, Matias M | |
dc.contributor.author | Loucera, Carlos | |
dc.contributor.author | Gunyel, Devrim | |
dc.contributor.author | Ostaszewski, Marek | |
dc.contributor.author | Peña-Chilet, Maria | |
dc.contributor.author | Dopazo, Joaquin | |
dc.contributor.funder | Spanish Ministry of Economy and Competitiveness | |
dc.contributor.funder | Instituto de Salud Carlos III. Spanish Government | |
dc.contributor.funder | CIBER-ISCIII | |
dc.date.accessioned | 2023-02-09T10:40:06Z | |
dc.date.available | 2023-02-09T10:40:06Z | |
dc.date.issued | 2021-01-21 | |
dc.description.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. | |
dc.description.version | Si | |
dc.identifier.citation | Rian K, Esteban-Medina M, Hidalgo MR, Çubuk C, Falco MM, Loucera C, et al. Mechanistic modeling of the SARS-CoV-2 disease map. BioData Min. 2021 Jan 21;14(1):5. | |
dc.identifier.doi | 10.1186/s13040-021-00234-1 | |
dc.identifier.issn | 1756-0381 | |
dc.identifier.pmc | PMC7817765 | |
dc.identifier.pmid | 33478554 | |
dc.identifier.pubmedURL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817765/pdf | |
dc.identifier.unpaywallURL | https://biodatamining.biomedcentral.com/counter/pdf/10.1186/s13040-021-00234-1 | |
dc.identifier.uri | http://hdl.handle.net/10668/17016 | |
dc.issue.number | 1 | |
dc.journal.title | BioData mining | |
dc.journal.titleabbreviation | BioData Min | |
dc.language.iso | en | |
dc.organization | Fundación Pública Andaluz Progreso y Salud-FPS | |
dc.organization | Instituto de Biomedicina de Sevilla-IBIS | |
dc.organization | Hospital Universitario Virgen del Rocío | |
dc.page.number | 8 | |
dc.provenance | Realizada la curación de contenido 08/04/2025 | |
dc.publisher | BioMed Central Ltd. | |
dc.pubmedtype | Journal Article | |
dc.relation.projectID | SAF2017-88908-R | |
dc.relation.projectID | COV20/00788 | |
dc.relation.projectID | PT17/0009/0006 | |
dc.relation.projectID | ACCI2018/29 | |
dc.relation.publisherversion | https://biodatamining.biomedcentral.com/articles/10.1186/s13040-021-00234-1 | |
dc.rights | Attribution 4.0 International | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | COVID-19 | |
dc.subject | Drug discovery | |
dc.subject | Mechanistic modeling | |
dc.subject | Signaling pathway | |
dc.subject | Systems biology | |
dc.subject.decs | Virosis | |
dc.subject.decs | Humanos | |
dc.subject.decs | Células | |
dc.subject.decs | Terapéutica | |
dc.subject.decs | Antivirales | |
dc.subject.decs | Inflamación | |
dc.subject.decs | Enfermedad | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Virus Diseases | |
dc.subject.mesh | Antiviral Agents | |
dc.subject.mesh | Inflammation | |
dc.subject.mesh | SARS-CoV-2 | |
dc.subject.mesh | Gene Expression | |
dc.title | Mechanistic modeling of the SARS-CoV-2 disease map. | |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 14 | |
dspace.entity.type | Publication |
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