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Target Discovery for Host-Directed Antiviral Therapies: Application of Proteomics Approaches.
Cakir, Merve; Obernier, Kirsten; Forget, Antoine; Krogan, Nevan J.
  • Cakir M; Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA.
  • Obernier K; Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, USA.
  • Forget A; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.
  • Krogan NJ; Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, USA.
mSystems ; 6(5): e0038821, 2021 Oct 26.
Article in English | MEDLINE | ID: covidwho-1406606
ABSTRACT
Current epidemics, such as AIDS or flu, and the emergence of new threatening pathogens, such as the one causing the current coronavirus disease 2019 (COVID-19) pandemic, represent major global health challenges. While vaccination is an important part of the arsenal to counter the spread of viral diseases, it presents limitations and needs to be complemented by efficient therapeutic solutions. Intricate knowledge of host-pathogen interactions is a powerful tool to identify host-dependent vulnerabilities that can be exploited to dampen viral replication. Such host-directed antiviral therapies are promising and are less prone to the development of drug-resistant viral strains. Here, we first describe proteomics-based strategies that allow the rapid characterization of host-pathogen interactions. We then discuss how such data can be exploited to help prioritize compounds with potential host-directed antiviral activity that can be tested in preclinical models.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: MSystems Year: 2021 Document Type: Article Affiliation country: MSystems.00388-21

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Full text: Available Collection: International databases Database: MEDLINE Topics: Vaccines Language: English Journal: MSystems Year: 2021 Document Type: Article Affiliation country: MSystems.00388-21