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Computational drug repurposing against SARS-CoV-2 reveals plasma membrane cholesterol depletion as key factor of antiviral drug activity

Comparing SARS-CoV-2 infection-induced gene expression signatures to drug treatment-induced gene expression signatures is a promising bioinformatic tool to repurpose existing drugs against SARS-CoV-2. The general hypothesis of signature-based drug repurposing is that drugs with inverse similarity to...

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Main Authors: Barsi, Szilvia (Author) , Papp, Henrietta (Author) , Valdeolivas, Alberto (Author) , Tóth, Dániel J. (Author) , Kuczmog, Anett (Author) , Madai, Mónika (Author) , Hunyady, László (Author) , Várnai, Péter (Author) , Sáez Rodríguez, Julio (Author) , Jakab, Ferenc (Author) , Szalai, Bence (Author)
Format: Article (Journal)
Language:English
Published: April 11, 2022
In: PLoS Computational Biology
Year: 2022, Volume: 18, Issue: 4, Pages: 1-20
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1010021
Online Access:kostenfrei
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Author Notes:Szilvia Barsi, Henrietta Papp, Alberto Valdeolivas, Dániel J. Tóth, Anett Kuczmog, Mónika Madai, László Hunyady, Péter Várnai, Julio Saez-Rodriguez, Ferenc Jakab, Bence Szalai
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Summary:Comparing SARS-CoV-2 infection-induced gene expression signatures to drug treatment-induced gene expression signatures is a promising bioinformatic tool to repurpose existing drugs against SARS-CoV-2. The general hypothesis of signature-based drug repurposing is that drugs with inverse similarity to a disease signature can reverse disease phenotype and thus be effective against it. However, in the case of viral infection diseases, like SARS-CoV-2, infected cells also activate adaptive, antiviral pathways, so that the relationship between effective drug and disease signature can be more ambiguous. To address this question, we analysed gene expression data from in vitro SARS-CoV-2 infected cell lines, and gene expression signatures of drugs showing anti-SARS-CoV-2 activity. ...
Item Description:Gesehen am 07.11.2023
Physical Description:Online Resource
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1010021

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