Current Drug Delivery,
Год журнала:
2023,
Номер
21(6), С. 870 - 886
Опубликована: Сен. 6, 2023
Abstract:
Drug
discovery
and
development
(DDD)
is
a
highly
complex
process
that
necessitates
precise
monitoring
extensive
data
analysis
at
each
stage.
Furthermore,
the
DDD
both
timeconsuming
costly.
To
tackle
these
concerns,
artificial
intelligence
(AI)
technology
can
be
used,
which
facilitates
rapid
of
datasets
within
limited
timeframe.
The
pathophysiology
cancer
disease
complicated
requires
research
for
novel
drug
development.
first
stage
in
involves
identifying
targets.
Cell
structure
molecular
functioning
are
due
to
vast
number
molecules
function
constantly,
performing
various
roles.
scientists
continually
discovering
cellular
mechanisms
molecules,
expanding
range
potential
Accurately
correct
target
crucial
step
preparation
treatment
strategy.
Various
forms
AI,
such
as
machine
learning,
neural-based
deep
network-based
currently
being
utilised
applications,
online
services,
databases.
These
technologies
facilitate
identification
validation
targets,
ultimately
contributing
success
projects.
This
review
focuses
on
different
types
subcategories
AI
databases
field
cancer.
Frontiers in Oncology,
Год журнала:
2025,
Номер
14
Опубликована: Янв. 7, 2025
Cancer's
epigenetic
landscape,
a
labyrinthine
tapestry
of
molecular
modifications,
has
long
captivated
researchers
with
its
profound
influence
on
gene
expression
and
cellular
fate.
This
review
discusses
the
intricate
mechanisms
underlying
cancer
epigenetics,
unraveling
complex
interplay
between
DNA
methylation,
histone
chromatin
remodeling,
non-coding
RNAs.
We
navigate
through
tumultuous
seas
dysregulation,
exploring
how
these
processes
conspire
to
silence
tumor
suppressors
unleash
oncogenic
potential.
The
narrative
pivots
cutting-edge
technologies,
revolutionizing
our
ability
decode
epigenome.
From
granular
insights
single-cell
epigenomics
holistic
view
offered
by
multi-omics
approaches,
we
examine
tools
are
reshaping
understanding
heterogeneity
evolution.
also
highlights
emerging
techniques,
such
as
spatial
long-read
sequencing,
which
promise
unveil
hidden
dimensions
regulation.
Finally,
probed
transformative
potential
CRISPR-based
epigenome
editing
computational
analysis
transmute
raw
data
into
biological
insights.
study
seeks
synthesize
comprehensive
yet
nuanced
contemporary
landscape
future
directions
research.
Cancer
is
a
fatal
genetic
disease
involving
unregulated
cell
growth
and
proliferation
with
varying
underlying
complexities
including
immune
evasion,
treatment
resistance
recurrence,
optimized
required
for
proper
cure.
Molecular
studies
have
revealed
that
tumors
are
extremely
heterogeneous
in
nature,
leading
to
the
complexity
of
cancer
development,
which
ultimately
linked
its
machinery.
It
would
require
effective
targeting
dysregulated
molecular
mechanisms
factors,
regulatory
proteins,
adhesion
molecules,
molecules
system
mainly
driven
by
alterations
tumor
suppressor
genes
oncogenes
may
vary
among
different
types.
Importantly,
patients
same
type
respond
differently
available
treatments,
indicating
need
patient-specific
options.
Thus,
in-depth
genomic
patients’
needed
fully
understand
determinants
initiation
progression
targeted
therapy.
Precision
oncology
has
evolved
as
form
therapy
focused
on
profiling
identify
involved
manifestation
tailored
individualized
disease.
Accordingly,
there
been
great
developments
formulation
production
anticancer
agents
recent
years
owing
advances
technologies
enabling
precise
oncogenic
pathways
progression.
This
article
aims
briefly
explain
foundations
frontiers
precision
context
advancements
tools
techniques
associated
process
assess
scope
importance
realizing
intended
goals.
Biological Procedures Online,
Год журнала:
2024,
Номер
26(1)
Опубликована: Май 27, 2024
Abstract
Exosomes
are
increasingly
recognized
as
important
mediators
of
intercellular
communication
in
cancer
biology.
can
be
derived
from
cells
well
cellular
components
tumor
microenvironment.
After
secretion,
the
exosomes
carrying
a
wide
range
bioactive
cargos
ingested
by
local
or
distant
recipient
cells.
The
released
act
through
variety
mechanisms
to
elicit
multiple
biological
effects
and
impact
most
if
not
all
hallmarks
cancer.
Moreover,
owing
their
excellent
biocompatibility
capability
being
easily
engineered
modified,
currently
exploited
promising
platform
for
targeted
therapy.
In
this
review,
we
first
summarize
current
knowledge
roles
risk
etiology,
initiation
progression
cancer,
underlying
molecular
mechanisms.
aptamer-modified
exosome
therapy
is
then
briefly
introduced.
We
also
discuss
future
directions
emerging
biology
perspective
Current Drug Delivery,
Год журнала:
2023,
Номер
21(6), С. 870 - 886
Опубликована: Сен. 6, 2023
Abstract:
Drug
discovery
and
development
(DDD)
is
a
highly
complex
process
that
necessitates
precise
monitoring
extensive
data
analysis
at
each
stage.
Furthermore,
the
DDD
both
timeconsuming
costly.
To
tackle
these
concerns,
artificial
intelligence
(AI)
technology
can
be
used,
which
facilitates
rapid
of
datasets
within
limited
timeframe.
The
pathophysiology
cancer
disease
complicated
requires
research
for
novel
drug
development.
first
stage
in
involves
identifying
targets.
Cell
structure
molecular
functioning
are
due
to
vast
number
molecules
function
constantly,
performing
various
roles.
scientists
continually
discovering
cellular
mechanisms
molecules,
expanding
range
potential
Accurately
correct
target
crucial
step
preparation
treatment
strategy.
Various
forms
AI,
such
as
machine
learning,
neural-based
deep
network-based
currently
being
utilised
applications,
online
services,
databases.
These
technologies
facilitate
identification
validation
targets,
ultimately
contributing
success
projects.
This
review
focuses
on
different
types
subcategories
AI
databases
field
cancer.
