Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19

Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19

The emergence of COVID-19 progressed into a global pandemic that has functionally put the world at a standstill and catapulted major healthcare systems into an overburdened state. The dire need for therapeutic strategies to mitigate and successfully treat COVID-19 is now a public health crisis with...

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Bibliographic Details
Main Authors: Michael A. Kiebish, Punit Shah, Rangaprasad Sarangarajan, Vivek K. Vishnudas, Stephane Gesta, Poornima K. Tekumalla, Chas Bountra, Elder Granger, Eric Schadt, Leonardo O. Rodrigues, Niven R. Narain
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
COVID-19
proteomics
Bayesian
drug repurposing
ACE2
CHEK1
Online Access:https://www.mdpi.com/2076-3417/11/6/2466

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https://www.mdpi.com/2076-3417/11/6/2466

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