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Advancement: Annotating Mechanism of Action of Natural Products using Orthogonal Platforms FUSION and CP

Speaker Name: 
Akshar Lohith
Speaker Title: 
PhD Student
Speaker Organization: 
Biomolecular Engineering & Bioinformatics PhD
Start Time: 
Monday, January 25, 2021 - 1:00pm
End Time: 
Monday, January 25, 2021 - 2:00pm
Zoom - - Passcode: 529342

Abstract: Natural products have been vital in human history as sources of drugs and medicines and have been crucial to the development and inspiration for over 1000 therapeutics in the last 30+ years. In order to process and discover more chemical products, we have leaned on the innovation and widespread availability of automated instrumentation and techniques in the form of high-throughput screening, screening of many lead compounds quickly in 96-well or greater format, and high-content screening, collecting and analyzing multiple measurements from the same screen. High-content screening assays can produce phenotypic fingerprints that can be leveraged into 'guilt-by-association' analyses in order to link potential mechanistic annotations of known compounds screened to the new compounds, like natural products. Here I present two assays, CP and FUSION, that each produce phenotypic fingerprints that use 'guilt-by-association' analyses to provide mechanism of action predictions, and the updates I will be introducing to expand the reach for these platforms to compounds screened in the community. I will also present a phenotypic signature similarity analysis that I will automate into a web platform to provide the results of potential compound annotations.

Event Type: 
John MacMillan and Scott Lokey 
Graduate Program: 
Biomolecular Engineering & Bioinformatics PhD