On-Demand Webinar Registration:
Discovering Potential COVID-19 Therapies Using High Content Screening


Fill out the form to the right to register to view the on-demand webinar Discovering Potential COVID-19 Therapies Using High Content Screening

In this webinar, Professor Jonny Sexton discusses a pipeline, developed in the Sexton lab, for the quantitative high-throughput image-based screening of SARS-CoV-2 infection to identify potential antiviral mechanisms and allow selection of appropriate drug combinations to treat COVID-19. This webinar presents evidence that morphological profiling can robustly identify new potential therapeutics against SARS-CoV-2 infection as well as drugs that potentially worsen COVID-19 outcomes.

In this webinar, you will discover:

  • The machine learning approaches leveraged by the Sexton Lab to create an assay metric that accurately and robustly identifies features that predict antiviral efficacy and mechanism of action (MOA).
  • Several FDA-approved drugs and clinical candidates with a unique antiviral activity identified using this approach.
  • How lactoferrin inhibits viral entry and replication, enhances antiviral host cell response, and potentiates the effects of remdesivir and hydroxychloroquine.
  • How currently prescribed drugs that exacerbate viral infectivity were also identified.

Speaker
Jonny Sexton
Assistant Professor, Internal Medicine, Division of Gastroenterology and Hepatology
Assistant Professor, College of Pharmacy, Medicinal Chemistry
Faculty Lead, Michigan Institute for Clinical & Health Research, MICHR, Drug Repurposing

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