There is a newer version of this record available.

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.

Files (59.3 MB)
Name Size
loucera_carlos_dm2020_poster.pdf
md5:196c41b0394afb67164ccee81b004880
1.1 MB Download
loucera_carlos_dm2020_slides.pdf
md5:63f4a0bd1d3f9edd1b183d31036292ac
11.1 MB Download
loucera_carlos_dm2020_talk.mp4
md5:4813e5a7caa60f4fa58ecd184669b1b2
47.1 MB Download
294
334
views
downloads
All versions This version
Views 294200
Downloads 33491
Data volume 8.8 GB1.2 GB
Unique views 234164
Unique downloads 20664

Share

Cite as