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. 2020 Dec 11;5(1):290.
doi: 10.1038/s41392-020-00417-y.

Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection

Carlos Loucera  1   2 , Marina Esteban-Medina  1   2 , Kinza Rian  1 , Matías M Falco  1   2   3 , Joaquín Dopazo  4   5   6   7 , María Peña-Chilet  8   9   10
Affiliations

Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection

Carlos Loucera et al. Signal Transduct Target Ther. .
No abstract available

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Summary of the drug repurposing strategy and the results obtained. a Schema of the procedure followed for finding drug targets that affect the COVID-19 disease map. b Two different patterns of circuits affected by six drugs (see text). c Radar plot representing the impact of the most relevant drugs listed in Supplementary Table S3 over the different COVID-19 hallmarks, quantified as the number of circuits of the corresponding hallmark are potentially affected
See this image and copyright information in PMC

References

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