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A community effort in SARS‐CoV‐2 drug discovery.

Authors :
Schimunek, Johannes
Seidl, Philipp
Elez, Katarina
Hempel, Tim
Le, Tuan
Noé, Frank
Olsson, Simon
Raich, Lluís
Winter, Robin
Gokcan, Hatice
Gusev, Filipp
Gutkin, Evgeny M.
Isayev, Olexandr
Kurnikova, Maria G.
Narangoda, Chamali H.
Zubatyuk, Roman
Bosko, Ivan P.
Furs, Konstantin V.
Karpenko, Anna D.
Kornoushenko, Yury V.
Source :
Molecular Informatics; Jan2024, Vol. 43 Issue 1, p1-19, 19p
Publication Year :
2024

Abstract

The COVID‐19 pandemic continues to pose a substantial threat to human lives and is likely to do so for years to come. Despite the availability of vaccines, searching for efficient small‐molecule drugs that are widely available, including in low‐ and middle‐income countries, is an ongoing challenge. In this work, we report the results of an open science community effort, the "Billion molecules against COVID‐19 challenge", to identify small‐molecule inhibitors against SARS‐CoV‐2 or relevant human receptors. Participating teams used a wide variety of computational methods to screen a minimum of 1 billion virtual molecules against 6 protein targets. Overall, 31 teams participated, and they suggested a total of 639,024 molecules, which were subsequently ranked to find 'consensus compounds'. The organizing team coordinated with various contract research organizations (CROs) and collaborating institutions to synthesize and test 878 compounds for biological activity against proteases (Nsp5, Nsp3, TMPRSS2), nucleocapsid N, RdRP (only the Nsp12 domain), and (alpha) spike protein S. Overall, 27 compounds with weak inhibition/binding were experimentally identified by binding‐, cleavage‐, and/or viral suppression assays and are presented here. Open science approaches such as the one presented here contribute to the knowledge base of future drug discovery efforts in finding better SARS‐CoV‐2 treatments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18681743
Volume :
43
Issue :
1
Database :
Complementary Index
Journal :
Molecular Informatics
Publication Type :
Academic Journal
Accession number :
174976291
Full Text :
https://doi.org/10.1002/minf.202300262