iScience (Sep 2022)

Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritization

  • J.J. Patten,
  • Patrick T. Keiser,
  • Deisy Morselli-Gysi,
  • Giulia Menichetti,
  • Hiroyuki Mori,
  • Callie J. Donahue,
  • Xiao Gan,
  • Italo do Valle,
  • Kathleen Geoghegan-Barek,
  • Manu Anantpadma,
  • RuthMabel Boytz,
  • Jacob L. Berrigan,
  • Sarah H. Stubbs,
  • Tess Ayazika,
  • Colin O’Leary,
  • Sallieu Jalloh,
  • Florence Wagner,
  • Seyoum Ayehunie,
  • Stephen J. Elledge,
  • Deborah Anderson,
  • Joseph Loscalzo,
  • Marinka Zitnik,
  • Suryaram Gummuluru,
  • Mark N. Namchuk,
  • Albert-László Barabási,
  • Robert A. Davey

Journal volume & issue
Vol. 25, no. 9
p. 104925

Abstract

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Summary: Pharmacologically active compounds with known biological targets were evaluated for inhibition of SARS-CoV-2 infection in cell and tissue models to help identify potent classes of active small molecules and to better understand host-virus interactions. We evaluated 6,710 clinical and preclinical compounds targeting 2,183 host proteins by immunocytofluorescence-based screening to identify SARS-CoV-2 infection inhibitors. Computationally integrating relationships between small molecule structure, dose-response antiviral activity, host target, and cell interactome produced cellular networks important for infection. This analysis revealed 389 small molecules with micromolar to low nanomolar activities, representing >12 scaffold classes and 813 host targets. Representatives were evaluated for mechanism of action in stable and primary human cell models with SARS-CoV-2 variants and MERS-CoV. One promising candidate, obatoclax, significantly reduced SARS-CoV-2 viral lung load in mice. Ultimately, this work establishes a rigorous approach for future pharmacological and computational identification of host factor dependencies and treatments for viral diseases.

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