The
pharmaceutical
market
has
been
growing
rapidly,
but
concerns
about
energy
and
resource
sustainability
have
made
it
important
to
consider
the
economical
sustainable
aspects
of
discovering
functional
molecules
in
synthetic
chemistry.
One
main
challenges
traditional
chemical
synthesis
is
that
labor-intensive
generates
a
lot
waste
due
repetitive
reaction
manipulation.
To
address
this
issue,
paper
presents
robotic
end
effector
system
with
three
degrees
freedom
(DOF)
facilitate
automation
tasks
drug
discovery
workcell.
This
robotics
features
unique
remote
center
motion
(RCM)
spherical-linear
mechanism
novel
hollow
double
spring
vacuum
actuator
(HDSVA)
uses
soft
elastic
material
springs
for
actuation
structural
integrity.
covers
design,
kinematics,
system.
HDSVA
modeled
analytically
interaction
between
membrane
examined.
Through
kinematic
analysis,
simulation
results,
experimental
evaluations,
we
examine
capabilities
validate
feasibility
automated
stirring
tasks.
Artificial Intelligence Chemistry,
Год журнала:
2023,
Номер
2(1), С. 100038 - 100038
Опубликована: Дек. 15, 2023
Developing
new
pharmaceutical
compounds
is
a
lengthy,
costly,
and
intensive
process.
In
recent
years,
the
development
of
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
Deep
(DL)
models
has
drawn
considerable
interest
in
drug
discovery.
this
review,
we
discuss
advances
field
show
how
these
methods
can
be
leveraged
to
assist
each
stage
discovery
After
discussing
technical
progress
encoding
chemical
information
via
fingerprinting
emergence
graph-based
generative
models,
examine
all
types
interactions,
including
drug-target
protein-protein
protein-peptide
nucleic
acid-based
interactions.
Furthermore,
enabled
by
DL
for
prediction
ADMET
(Absorption,
Distribution,
Metabolism,
Elimination,
Toxicity)
properties
solubility.
We
also
review
applications
that
have
emerged
past
two
years
with
instance,
on
SARS-CoV-2
inhibitors
highlight
outstanding
challenges.
Discovery
of
novel
structures
and
synthesis
certain
potent,
less
dangerous
anticancer
drugs
present
a
critical
obstacle
for
medicinal
chemists.
The
concept
rational
design,
the
CAPIR
(circulation,
accumulation,
penetration,
internalization
release)
cascade,
management
physicochemical
properties
nanoparticles,
design
nanomedicine
with
some
representative
examples
molecules
identified
by
it
are
key
themes
review.
This
chapter
also
provides
insights
knowledge
that
will
enhance
task
developing
new
nanomedicines
illuminating
potential
future
designs
unique
chemical
compounds
properties.
Applied Sciences,
Год журнала:
2024,
Номер
15(1), С. 269 - 269
Опубликована: Дек. 30, 2024
The
aim
of
the
article
is
to
highlight
key
role
artificial
intelligence
in
modern
oncology.
search
for
scientific
publications
was
carried
out
through
following
web
engines:
PubMed,
PMC,
Web
Science,
Scopus,
Embase
and
Ebsco.
Artificial
plays
a
special
oncology
considered
be
future
largest
application
diagnostics
(more
than
80%),
particularly
radiology
pathology.
This
can
help
oncologists
not
only
detect
cancer
at
an
early
stage
but
also
forecast
possible
development
disease
by
using
predictive
models.
clinical
trials.
AI
makes
it
accelerate
discovery
new
drugs,
even
if
necessarily
successfully.
done
detecting
molecules.
enables
patient
recruitment
combining
diverse
demographic
medical
data
match
requirements
given
research
protocol.
reducing
population
heterogeneity,
or
prognostic
enrichment.
effectiveness
depends
on
continuous
learning
system
based
large
amounts
requires
resolution
some
ethical
legal
issues.
The
pharmaceutical
market
has
been
growing
rapidly,
but
concerns
about
energy
and
resource
sustainability
have
made
it
important
to
consider
the
economical
sustainable
aspects
of
discovering
functional
molecules
in
synthetic
chemistry.
One
main
challenges
traditional
chemical
synthesis
is
that
labor-intensive
generates
a
lot
waste
due
repetitive
reaction
manipulation.
To
address
this
issue,
paper
presents
robotic
end
effector
system
with
three
degrees
freedom
(DOF)
facilitate
automation
tasks
drug
discovery
workcell.
This
robotics
features
unique
remote
center
motion
(RCM)
spherical-linear
mechanism
novel
hollow
double
spring
vacuum
actuator
(HDSVA)
uses
soft
elastic
material
springs
for
actuation
structural
integrity.
covers
design,
kinematics,
system.
HDSVA
modeled
analytically
interaction
between
membrane
examined.
Through
kinematic
analysis,
simulation
results,
experimental
evaluations,
we
examine
capabilities
validate
feasibility
automated
stirring
tasks.
