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A Multi-Pronged Approach Targeting SARS-CoV-2 Proteins Using Ultra-Large Virtual Screening

Authors :
Dave Payne
Colin Hutcheson
Alexander Chuprina
Roni Luxenburg
Marco Cespugli
Mark N. Namchuk
Anthony Calderaio
Anders M. Näär
Irina Yavnyuk
Minko Gechev
Gerhard Wagner
Dmytro S. Radchenko
Noam Lewis
Konstantin Fackeldey
Olga Tarkhanova
Vedat Durmaz
Alec Shnapir
Kendra E. Leigh
Alla Plekhova
Shreya Pandita
Ryan Yust
Jamie Kinney
Alexander Rose
Christian Gruber
Robert A. Davey
Krishna Mohan Padmanabha Das
Guilhem Tesseyre
Henry D. Herce
Patrick D. Fischer
Igor Dziuba
J. J. Patten
Haribabu Arthanari
Zi-Fu Wang
Christoph Gorgulla
Thanos D. Halazonetis
Yurii S. Moroz
Erez Yaffe
Leigh, Kendra [0000-0002-6467-3330]
Apollo - University of Cambridge Repository
Source :
iScience, iScience, Vol 24, Iss 2, Pp 102021-(2021), ChemRxiv, article-version (number) 1, article-version (status) pre
Publication Year :
2020
Publisher :
American Chemical Society (ACS), 2020.

Abstract

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.<br />Graphical Abstract<br />Highlights • Ultra-large in silico screen of targets important for the replication of SARS-CoV-2 (85) • Screening of multiple functional sites on individual target proteins (70) • 17 target proteins, 45 screens, ∼50 billion docking instances to target SARS-CoV-2 (84) • Conservation in some target sites means hits could exhibit pan-coronavirus function (85)

Details

Database :
OpenAIRE
Journal :
iScience, iScience, Vol 24, Iss 2, Pp 102021-(2021), ChemRxiv, article-version (number) 1, article-version (status) pre
Accession number :
edsair.doi.dedup.....561baa05526285da0be973aafd3b2bc2
Full Text :
https://doi.org/10.26434/chemrxiv.12682316.v1