In‐Silico Screening, Molecular Dynamics, and DFT Analysis of ZINC and ChEMBL Library Compounds for SARS‐CoV‐2 Main Protease Inhibition
Shailendra Verma,
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Amit Dubey,
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Rashika Singh
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et al.
ChemistrySelect,
Journal Year:
2025,
Volume and Issue:
10(4)
Published: Jan. 1, 2025
Abstract
Although
COVID‐19
is
no
longer
classified
as
a
global
emergency,
the
emergence
of
SARS‐CoV‐2
variants
highlights
urgent
need
for
antiviral
drug
discovery.
This
study
identifies
potent
inhibitors
main
protease,
supporting
future
preparedness
and
advancing
strategies.
Using
experimental
drugs
from
ZINC
ChEMBL
libraries,
systematic
workflow
combining
SwissSimilarity‐based
screening,
molecular
docking,
dynamics
(MD)
simulations,
density
functional
theory
(DFT)
calculations
was
employed
robust
candidate
assessment.
Five
potential
inhibitors,
sharing
4‐(2‐pyrimidin‐4‐yl)‐morpholine
motif,
were
identified.
Among
them,
Apilimod,
known
its
immunomodulatory
properties,
showed
promising
efficacy
against
viral
replication
in
prior
studies.
Detailed
interaction
analyzed
through
2.5
microseconds
MD
simulations
(500
ns
per
complex),
revealing
critical
insights
into
stability,
binding
modes,
conformational
drug‐protein
complexes.
MM/PBSA
free
energy
further
demonstrated
Apilimod’s
superior
affinity
compared
to
other
candidates.
These
findings
highlight
therapeutic
Apilimod
structural
analogs
antivirals.
By
leveraging
advanced
computational
techniques,
this
provides
valuable
combating
addressing
threats.
Language: Английский
Let’s Not Neglect Drug Discovery to Combat COVID-19: In Silico Study of the Anti-Cancer Compounds Flexible Heteroarotinoids as Candidate Inhibitors Against SARS-CoV-2 Proteins
Sujan Timsina,
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Md Ahtesham Akhter,
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Donghua H. Zhou
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et al.
OMICS A Journal of Integrative Biology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
The
COVID-19
pandemic
phase
caused
by
the
SARS-CoV-2
has
ended,
but
emergence
of
new
variants
continues
to
threaten
public
health.
health
toolbox
for
is
in
need
not
only
vaccines
also
drug
discovery
against
virus,
causative
agent
ongoing
infections.
We
report
here
an
silico
molecular
docking
and
dynamics
study
that
uncovered
interactions
26
flexible
heteroarotinoids
(FHT18),
which
are
a
class
anti-cancer
compounds,
as
potential
inhibitors
all
24
proteins.
Of
624
docked
complexes,
69
displayed
binding
energies
between
-9.0
-11.6
kcal/mol,
indicating
good
strong
affinities.
At
least
five
these
compounds
excellent
affinities
nonstructural
protein
2,
papain-like
protease,
4
(Nsp4),
proof-reading
exoribonuclease,
membrane
protein,
nucleocapsid
protein.
Structure-activity
relationship
(SAR)
analyses
results
revealed
urea
linker
place
thiourea
linker,
enhanced
hydrophobic
side
chains
attached
chromane
unit,
CF3
or
OCF3
functional
group
benzene
ring
contributed
increased
Further,
simulation
best-docked
complex
FHT18-6c
with
Nsp4
remained
stable
at
200
ns,
leading
decreased
structural
fluctuations
compactness
site.
In
conclusion,
deserves
further
translational
research
explore
its
repurposing
potent
candidate
combat
COVID-19.
call
continued
efforts
enrich
Language: Английский