A signaling pathway-driven bioinformatics pipeline for predicting therapeutics against emerging infectious diseases [version 2; peer review: 2 approved, 1 approved with reservations]

• Published in: F1000 research Vol. 10; p. 330
• Main Authors: Scott, Tiana M, Jensen, Sam, Pickett, Brett E
• Format: Journal Article
• Language: English
• Published: London Faculty of 1000 Ltd 2021; F1000 Research Limited; F1000 Research Ltd
• Subjects: Betacoronavirus; Bioinformatics; Clinical trials; Computer applications; Coronaviruses; COVID-19; Infectious diseases; Influenza A; Interleukin 1 receptor antagonist; Method; Middle East respiratory syndrome; Pandemics; Respiratory syncytial virus; Severe acute respiratory syndrome coronavirus 2; Signal transduction; Viral infections; Viruses; United States > US; COVID-19; therapeutic; SARS-CoV-2; infection; bioinformatics; coronavirus; repurposing; virus; target

Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the etiological agent of coronavirus disease-2019 (COVID-19), is a novel Betacoronavirus that was first reported in Wuhan, China in December of 2019. The virus has since caused a worldwide pandemic that highlights the need to...