Expert Opinion on Drug Discovery,
Год журнала:
2024,
Номер
19(11), С. 1355 - 1381
Опубликована: Окт. 17, 2024
Scaffold
hopping
has
emerged
as
a
practical
tactic
to
enrich
the
synthetic
bank
of
small
molecule
antitumor
agents.
Specifically,
it
enables
chemist
refine
lead
compound's
pharmacodynamic,
pharmacokinetic,
and
physiochemical
properties.
opens
up
fresh
molecular
territory
beyond
established
patented
chemical
domains.
Bioorganic & Medicinal Chemistry,
Год журнала:
2024,
Номер
109, С. 117791 - 117791
Опубликована: Июнь 9, 2024
The
flavonoid
family
is
a
set
of
well-known
bioactive
natural
molecules,
with
wide
range
potential
therapeutic
applications.
Despite
the
promising
results
obtained
in
preliminary
vitro/vivo
studies,
their
pharmacokinetic
and
pharmacodynamic
profiles
are
severely
compromised
by
chemical
instability.
To
address
this
issue,
scaffold-hopping
approach
strategy
for
structural
optimization
leads
to
discover
more
potent
analogues.
In
scenario,
Perspective
provides
critical
analysis
on
how
replacement
chromon-4-one
core
other
bioisosteric
nitrogen/sulphur
heterocycles
might
affect
chemical,
pharmaceutical
biological
properties
resulting
new
entities.
investigated
derivatives
were
classified
basis
activity
indications.
For
each
session,
target(s),
specific
mechanism
action,
if
available,
key
pharmacophoric
moieties
highlighted,
as
revealed
X-ray
crystal
structures
silico
structure-based
studies.
Biological
data,
examined:
particular
focus
was
given
improvements
observed
heterocyclic
analogues
compared
flavonoids.
This
overview
advantages
compounds
great
interest
medicinal
chemistry
community
better
exploit
vast
these
molecules
identify
molecules.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Ноя. 19, 2024
Single-atom
skeletal
editing
is
an
increasingly
powerful
tool
for
scaffold
hopping-based
drug
discovery.
However,
the
insertion
of
a
functionalized
carbon
atom
into
heteroarenes
remains
rare,
especially
when
performed
in
complex
chemical
settings.
Despite
more
than
century
research,
Ciamician-Dennstedt
(C-D)
rearrangement
limited
to
halocarbene
precursors.
Herein,
we
report
general
methodology
reaction
using
α-halogen-free
carbenes
generated
situ
from
N-triftosylhydrazones.
This
one-pot,
two-step
protocol
enables
various
carbenes,
including
those
previously
unexplored
C-D
chemistry,
indoles/pyrroles
scaffolds
access
3-functionalized
quinolines/pyridines.
Mechanistic
studies
reveal
pathway
involving
intermediacy
1,4-dihydroquinoline
intermediate,
which
could
undergo
oxidative
aromatization
or
defluorinative
form
different
carbon-atom
products.
Ciamician–Dennstedt
authors
Journal of Medicinal Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Methionine
adenosyltransferase
2A
(MAT2A)
has
emerged
as
a
synthetic
lethal
drug
target
in
cancers
bearing
homozygous
methylthioadenosine
phosphorylase
(MTAP)
gene
deletion.
Despite
the
remarkable
progress
discovery
and
development
of
MAT2A
inhibitors,
current
understanding
about
selectivity
these
compounds
toward
MTAP-deficient
is
relatively
limited.
To
improve
inhibitors
for
remains
significant
challenge.
We
herein
reported
series
novel
with
2(1
General
procedures
for
the
rhodium-catalyzed
annulation
of
aryl/heteroaryl
O-pivaloyl
hydroxamic
acids
and
norbornadiene
have
been
developed.
Employing
as
an
acetylene
equivalent
enables
utilization
diverse
heterocyclic
substrates
this
transformation
which
fail
to
react
or
undergo
competitive
Lossen
rearrangement
under
previously
reported
conditions.
Microwave
heating
significantly
reduces
reaction
times
compared
conventional
protocols
allows
a
one-step
process
be
realized.
The
conditions
described
herein
adapted
gram-scale
synthesis
applied
formal
Pfizer
clinical
candidates.
We
report
an
unusual
ring
contraction
of
4-chlorocoumarin
to
benzofuranoyl
sulfoxonium
ylides
using
a
Corey-ylide.
These
stabilized
were
subsequently
utilized
for
the
synthesis
various
valuable
bis-heterocycles
under
both
metal
and
metal-free
conditions.
The
synthetic
utility
this
method
is
illustrated
through
known
bioactive
compounds.
Detailed
mechanistic
investigations
quantum
chemical
calculations
have
provided
insights
into
mechanism
reaction.
Abstract
The
Hit
to
Lead
(H2L)
process
is
an
integral
part
of
contemporary
drug
discovery,
encompassing
the
optimisation
validated
structures
into
molecules.
High
quality
leads
build
confidence,
through
activity
and
property
profiles
as
well
preliminary
biological
data,
which
might
include
validating
pharmacologic
hypotheses
along
way,
indicating
that
further
investment
in
structure(s)
target
would
be
worthwhile.
Leads
have
line
sight
a
development
candidate
bring
understanding
what
priorities
Optimisation
should
address.
In
this
set
best
practices,
we
detail
essential
criteria
characterise
good
lead,
establishing
SAR
from
analogues
assessing
DMPK
indicators,
selectivity
early
safety
parameters.
We
highlight
importance
identifying
liabilities
lead
series
demonstrating
each
can
individually
modulated
whilst
maintaining
on
potency.
make
case
for
having
physicochemical
properties
critical
parameters
how
ligand
efficiency
metrics
enable
this.
Then
go
over
general
tactics
used
convert
hits
series.
These
steps
that,
when
performed
early,
increase
chance
success
such
deconstructive
SAR,
pharmacophore
bioactive
conformation
determination
scaffold
optimisation.
Finally,
suggest
decision‐making
substantiate
confidence
or,
importantly,
making
recommendation
cease
work
Molecules,
Год журнала:
2025,
Номер
30(6), С. 1262 - 1262
Опубликована: Март 12, 2025
Generating
new
drug-like
molecules
is
an
essential
aspect
of
drug
discovery,
and
deep
learning
models
significantly
accelerate
this
process.
Language
have
demonstrated
great
potential
in
generating
novel
realistic
SMILES
representations
molecules.
Molecular
scaffolds,
which
serve
as
the
key
structural
foundation,
can
facilitate
language
discovering
chemically
feasible
biologically
relevant
However,
directly
using
scaffolds
prior
inputs
introduce
bias,
thereby
limiting
exploration
To
combine
above
advantages
address
limitation,
we
incorporate
molecular
scaffold
information
into
via
Online
knowledge
distillation
framework
for
unconditional
Molecule
Generation
task
(OMG),
consists
a
GPT
model
that
generates
strings
from
scratch
Transformer
generate
scaffolds.
The
complete
structures
deeply
integrated
through
mutual
two
models.
Experimental
results
on
well-known
molecule
generation
benchmarks
show
OMG
enhances
both
validity
novelty
GPT-based
model.
Furthermore,
comprehensive
property-specific
evaluation
indicate
generated
achieve
favorable
balance
across
multiple
chemical
properties
biological
activity,
demonstrating
our
method
viable
candidates.
Molecular Informatics,
Год журнала:
2025,
Номер
44(3)
Опубликована: Март 1, 2025
Abstract
The
challenges
of
drug
discovery
from
hit
identification
to
clinical
development
sometimes
involves
addressing
scaffold
hopping
issues,
in
order
optimise
molecular
biological
activity
or
ADME
properties,
mitigate
toxicology
concerns
a
candidate.
Docking
is
usually
viewed
as
the
method
choice
for
isofunctional
molecules,
i.
e.
highly
dissimilar
molecules
that
share
common
binding
modes
with
protein
target.
However,
structure
may
not
be
suitable
docking
because
low
resolution,
even
unknown.
This
problem
frequently
encountered
case
membrane
proteins,
although
they
constitute
an
important
category
druggable
proteome.
In
such
cases,
ligand‐based
approaches
offer
promise
but
are
often
inadequate
handle
large‐step
hopping,
rely
on
structure.
Therefore,
we
propose
Interaction
Fingerprints
Profile
(IFPP),
representation
captures
based
experiments
against
panel
diverse
high‐quality
proteins
structures.
Evaluation
LH
benchmark
demonstrates
interest
IFPP
molecules.
Nevertheless,
computation
IFPPs
expensive,
which
limits
its
scalability
screening
very
large
libraries.
We
overcome
this
limitation
by
leveraging
Metric
Learning
approaches,
allowing
fast
estimation
similarities,
thus
providing
efficient
pre‐screening
strategy
applicable
Overall,
our
results
suggest
provides
interesting
and
complementary
tool
alongside
existing
methods,
address
challenging
problems
effectively
discovery.