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

Autor: 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
Přispěvatelé: Leigh, Kendra [0000-0002-6467-3330], Apollo - University of Cambridge Repository
Rok vydání: 2020
Předmět:
Zdroj: iScience
iScience, Vol 24, Iss 2, Pp 102021-(2021)
ChemRxiv
article-version (number) 1
article-version (status) pre
Popis: 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.
Graphical Abstract
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)
Databáze: OpenAIRE