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@ARTICLE{Loschwitz:904335,
author = {Loschwitz, Jennifer and Jäckering, Anna and Keutmann,
Monika and Eberle, Raphael J. and Olagunju, Maryam and
Coronado, Monika Aparecida and Olubiyi, Olujide and Strodel,
Birgit},
title = {{N}ovel inhibitors of the main protease enzyme of
{SARS}-{C}o{V}-2 identified via molecular dynamics
simulation-guided in vitro assay},
journal = {Bioorganic chemistry},
volume = {111},
issn = {0045-2068},
address = {San Diego, Calif.},
publisher = {Elsevier},
reportid = {FZJ-2021-05905},
pages = {104862 -},
year = {2021},
abstract = {For the COVID-19 pandemic caused by SARS-CoV-2, there are
currently no effective drugs or vaccines to treat this
coronavirus infection. In this study, we focus on the main
protease enzyme of SARS-CoV-2, 3CLpro, which is critical for
viral replication. We employ explicit solvent molecular
dynamics simulations of about 150 compounds docked into
3CLpro’s binding site and that had emerged as good main
protease ligands from our previous in silico screening of
over 1.2 million compounds. By incoporating protein dynamics
and applying a range of structural descriptors, such as the
ability to form specific contacts with the catalytic dyad
residues of 3CLpro and the structural fluctuations of the
ligands in the binding site, we are able to further refine
our compound selection. Fourteen compounds including
estradiol shown to be the most promising based on our
calculations were procured and screened against recombinant
3CLpro in a fluorescence assay. Eight of these compounds
have significant activity in inhibiting the SARS-CoV-2 main
protease. Among these are corilagin, a gallotannin, and
lurasidone, an antipsychotic drug, which emerged as the most
promising natural product and drug, respectively, and might
thus be candidates for drug repurposing for the treatment of
COVID-19. In addition, we also tested the inhibitory
activity of testosterone, and our results reveal
testosterone as possessing moderate inhibitory potency
against the 3CLpro enzyme, which may thus provide an
explanation why older men are more severely affected by
COVID-19.},
cin = {IBI-7},
ddc = {540},
cid = {I:(DE-Juel1)IBI-7-20200312},
pnm = {5244 - Information Processing in Neuronal Networks
(POF4-524)},
pid = {G:(DE-HGF)POF4-5244},
typ = {PUB:(DE-HGF)16},
pubmed = {33862474},
UT = {WOS:000656967800004},
doi = {10.1016/j.bioorg.2021.104862},
url = {https://juser.fz-juelich.de/record/904335},
}