Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Genetics
Link
http://www.nature.com/articles/s41392-020-00417-y.pdf
Reference5 articles.
1. Cheng, F. et al. Network-based approach to prediction and population-based validation of in silico drug repurposing. Nat. Commun. 9, 1–12 (2018).
2. Amadoz, A. et al. A comparison of mechanistic signaling pathway activity analysis methods. Brief. Bioinforma. 20, 1655–1668 (2019).
3. Ostaszewski, M. et al. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Sci. Data 7, 136 (2020).
4. Esteban-Medina, M., Peña-Chilet, M., Loucera, C. & Dopazo, J. Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models. BMC Bioinforma. 20, 370 (2019).
5. Hay, M. et al. Clinical development success rates for investigational drugs. Nat. Biotechnol. 32, 40 (2014).
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