ACS Chemical Neuroscience,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 27, 2024
Insoluble
amyloid
fibrils
accumulate
in
the
intercellular
spaces
of
organs
and
tissues,
leading
to
various
amyloidosis-related
disorders
human
body.
Specifically,
Parkinson's
disease
is
associated
with
aggregation
alpha-synuclein.
However,
current
treatments
for
primarily
focus
on
managing
motor
symptoms
slowing
progression.
Efforts
prevent
halt
progression
these
diseases
involve
search
small
molecular
compounds.
In
this
work,
we
synthesized
imidazo[2,1-b][1,3]thiazines
an
atom-economic
way
by
cyclization
2-alkynylthioimidazoles
using
10%
AuCl
as
catalyst.
We
identified
several
compounds
specific
functional
groups
capable
both
inhibiting
alpha-synuclein
redirecting
fibril
formation
pathway.
The
investigation
into
how
substances
function
revealed
that
imidazo[2,1-b][1,3]thiazine
derivatives
can
influence
ways.
They
not
only
inhibit
primary
nucleation
process
maintain
a
balance
toward
nonaggregated
protein
states
but
also
stabilize
smaller
oligomeric
species
cause
unique
structures
forms.
These
could
potentially
be
used
developing
highly
efficient,
weight
inhibitors.
ACS Omega,
Journal Year:
2024,
Volume and Issue:
9(6), P. 6059 - 6073
Published: Feb. 5, 2024
Alzheimer's
disease
(AD)
is
a
neurodegenerative
disorder
characterized
by
progressive
and
irreversible
impairment
of
memory
other
cognitive
functions
the
aging
brain.
Pathways
such
as
amyloid
beta
neurotoxicity,
tau
pathogenesis
neuroinflammatory
have
been
used
to
understand
AD,
despite
not
knowing
definite
molecular
mechanism
which
causes
this
disease.
This
review
attempts
summarize
small
molecules
that
target
these
pathways
using
various
techniques
involving
high-throughput
screening,
modeling,
custom
bioassays,
spectroscopic
detection
tools.
Novel
evolving
screening
methods
developed
advance
drug
discovery
initiatives
in
AD
research
are
also
highlighted.
The Journal of Physical Chemistry B,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 2, 2025
Abnormal
amyloid
beta
(Aβ)
aggregation
in
the
form
of
plaques
and
its
deposition
across
human
nerve
cells
are
a
major
hallmark
Alzheimer's
disease.
Aβ
dynamics
and,
more
importantly,
various
drugs'
effects,
either
to
inhibit
fibril
or
degrade
mature
fibrils,
have
been
an
area
active
research.
Large
molecule
(peptide-based)
inhibitors,
such
as
decapeptide
(RYYAAFFARR)
pentapeptide
(LPFFD),
show
inhibition/degradation
effects
on
fibrils.
Herein,
mathematical
model
has
proposed.
The
simulates
inhibitory/degradative
action
peptide
inhibitors
fibrillation.
Model
parameters
tuned
by
curve
fitting
experimental
data.
is
used
predict
data
at
different
initial
dose/fibril
concentrations.
predicted
results
observed
be
good
agreement
with
reported
data,
demonstrating
model's
applicability
molecular
level.
Sensitivity
analyses
concentration
further
establish
robustness
proposed
model.
RSC Medicinal Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 6, 2024
This
review
collates
the
recent
information
related
to
proposed
hypotheses
for
AD
etiology
and
advances
in
various
therapeutic
options,
with
a
particular
emphasis
on
clinical
candidates.
Industrial & Engineering Chemistry Research,
Journal Year:
2024,
Volume and Issue:
63(17), P. 7636 - 7645
Published: April 17, 2024
Amyloid
β
(Aβ)
aggregation
is
considered
one
of
the
major
factors
in
Alzheimer's
disease
(AD)
pathogenesis.
Seeking
therapeutic
molecules
that
could
inhibit
effectively
has
been
a
research
focus
recent
years.
Chlorogenic
acid
(CGA)
reported
to
have
an
inhibition
effect
on
Aβ
aggregation,
and
its
effectiveness
be
enhanced
when
loaded
with
selenium
nanoparticles.
Herein,
previously
kinetic
model
based
radical
polymerization
studying
only
modified.
The
modified
used
study
inhibitory
effects
CGA
nanoparticles
aggregation.
Parameter
tuning
done
experimental
data
estimate
values
new
parameters
introduced
model.
simulated
results
from
are
good
agreement
at
different
doses
both
Moreover,
sensitivity
analyses
demonstrate
robustness
It
hypothesized
may
help
elucidate
Aβ-drug
interactions
revealing
insights
also
other
drugs,
such
as
polyphenols,
metal
chelators,
peptides,
show
similar
trend
for
fibrillation.
Journal of Cheminformatics,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: May 24, 2024
Abstract
De
novo
molecular
design
is
the
process
of
searching
chemical
space
for
drug-like
molecules
with
desired
properties,
and
deep
learning
has
been
recognized
as
a
promising
solution.
In
this
study,
I
developed
an
effective
computational
method
called
Scoring-Assisted
Generative
Exploration
(SAGE)
to
enhance
diversity
property
optimization
through
virtual
synthesis
simulation,
generation
bridged
bicyclic
rings,
multiple
scoring
models
drug-likeness.
six
protein
targets,
SAGE
generated
high
scores
within
reasonable
numbers
steps
by
optimizing
target
specificity
without
constraint
even
constraints
such
synthetic
accessibility,
solubility,
metabolic
stability.
Furthermore,
suggested
top-ranked
molecule
dual
inhibitors
acetylcholinesterase
monoamine
oxidase
B
optimization.
Therefore,
can
generate
properties
simultaneously,
indicating
importance
de
strategies
in
future
drug
discovery
development.
Scientific
contribution
The
scientific
study
lies
development
method,
novel
approach
that
significantly
enhances
design.
uniquely
integrates
complex
optimize
comprehensively.
By
efficiently
generating
meet
broad
spectrum
pharmacological
criteria—including
specificity,
stability—within
number
steps,
represents
substantial
advancement
over
traditional
methods.
Additionally,
application
discover
not
only
demonstrates
its
potential
streamline
but
also
highlights
capacity
create
more
precisely
targeted
therapies.
This
emphasizes
critical
evolving
role
reshaping
development,
providing
avenues
innovative
therapeutic
discoveries.
Medical Principles and Practice,
Journal Year:
2024,
Volume and Issue:
33(4), P. 301 - 309
Published: Jan. 1, 2024
Alzheimer’s
disease
(AD)
is
the
most
common
cause
of
neurodegenerative
impairment
in
elderly
people.
Clinical
characteristics
include
short-term
memory
loss,
confusion,
hallucination,
agitation,
and
behavioral
disturbance.
Owing
to
evolving
research
biomarkers,
AD
can
be
discovered
at
early
onset,
but
currently
considered
a
continuum,
which
suggests
that
pharmacotherapy
efficacious
preclinical
phase,
possibly
15–20
years
before
discernible
onset.
Present
developments
therapy
aim
respond
this
understanding
go
beyond
drug
families
relieve
clinical
symptoms.
Another
important
factor
development
emergence
precision
medicine
aims
tailor
treatment
specific
patients
or
patient
subgroups.
This
relatively
new
platform
would
categorize
on
basis
parameters
like
aspects,
brain
imaging,
genetic
profiling,
genetics,
epidemiological
factors.
review
enlarges
recent
progress
design
use
antisense
molecules,
antibodies,
antioxidants,
small
gene
editing
stop
reverse
relevant
biomarkers.
Proteins Structure Function and Bioinformatics,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 2, 2023
Abstract
Before
the
controversial
approval
of
humanized
monoclonal
antibody
lecanemab,
which
binds
to
soluble
amyloid‐β
protofibrils,
all
treatments
available
earlier,
for
Alzheimer's
disease
(AD)
were
symptomatic.
The
researchers
are
still
struggling
find
a
breakthrough
in
AD
therapeutic
medicine,
is
partially
attributable
lack
understanding
structural
information
associated
with
intrinsically
disordered
proteins
and
amyloids.
One
major
challenges
this
area
research
understand
diversity
under
vitro
conditions.
Therefore,
review,
we
have
summarized
applications
biophysical
methods,
aimed
shed
some
light
on
heterogeneity,
pathogenicity,
structures
mechanisms
protein
aggregates
proteinopathies
including
AD.
This
review
will
also
rationalize
strategies
modulating
disease‐relevant
pathogenic
entities
by
small
molecules
using
biology
approaches
characterization.
We
highlighted
tools
techniques
simulate
vivo
conditions
native
cytotoxic
tau/amyloids
assemblies,
urge
new
chemical
replicate
assemblies
similar
those
conditions,
addition
designing
novel
potential
drugs.