Poster Open Access
Drug repurposing for SARS-CoV-2 infection using machine learning and mechanistic models of the COVID-19 Disease Maps
Carlos Loucera;
Marina Esteban-Medina;
Kinza Rian;
Matías M Falco;
Joaquín Dopazo;
María Peña-Chilet
In this work, we use an innovative methodology that combines mechanistic modeling of the signal transduction circuits related to SARS-CoV-2 infection (the COVID-19 disease map) with a machine learning algorithm that learns potential causal interactions between proteins, already targets of drugs, and specific signaling circuits in the COVID-19 disease map, to suggest potentially repurposable drugs.
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loucera_carlos_dm2020_poster.pdf
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loucera_carlos_dm2020_slides.pdf
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loucera_carlos_dm2020_talk.mp4
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| Views | 367 | 242 |
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Indexed in
- Publication date:
- November 10, 2020
- DOI:
-
- Keyword(s):
- signal transduction drug repositioning COVID19 machine learning
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International