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10.1016/j.isci.2020.102021

http://scihub22266oqcxt.onion/10.1016/j.isci.2020.102021
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suck abstract from ncbi


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pmid33426509      iScience 2021 ; 24 (2): 102021
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  • A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening #MMPMID33426509
  • Gorgulla C; Padmanabha Das KM; Leigh KE; Cespugli M; Fischer PD; Wang ZF; Tesseyre G; Pandita S; Shnapir A; Calderaio A; Gechev M; Rose A; Lewis N; Hutcheson C; Yaffe E; Luxenburg R; Herce HD; Durmaz V; Halazonetis TD; Fackeldey K; Patten JJ; Chuprina A; Dziuba I; Plekhova A; Moroz Y; Radchenko D; Tarkhanova O; Yavnyuk I; Gruber C; Yust R; Payne D; Naar AM; Namchuk MN; Davey RA; Wagner G; Kinney J; Arthanari H
  • iScience 2021[Feb]; 24 (2): 102021 PMID33426509show ga
  • The unparalleled global effort to combat the continuing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic over the last year has resulted in promising prophylactic measures. However, a need still exists for cheap, effective therapeutics, and targeting multiple points in the viral life cycle could help tackle the current, as well as future, coronaviruses. Here, we leverage our recently developed, ultra-large-scale in silico screening platform, VirtualFlow, to search for inhibitors that target SARS-CoV-2. In this unprecedented structure-based virtual campaign, we screened roughly 1 billion molecules against each of 40 different target sites on 17 different potential viral and host targets. In addition to targeting the active sites of viral enzymes, we also targeted critical auxiliary sites such as functionally important protein-protein interactions.
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