Frontiers in Bacteriology,
Journal Year:
2023,
Volume and Issue:
2
Published: Oct. 9, 2023
Tackling
antimicrobial
resistance
requires
the
development
of
new
drugs
and
vaccines.
Artificial
intelligence
(AI)
assisted
computational
approaches
offer
an
alternative
to
traditionally
empirical
drug
vaccine
discovery
pipelines.
In
this
mini
review,
we
focus
on
increasingly
important
role
that
AI
now
plays
in
vaccines
provide
reader
with
methods
used
identify
candidate
candidates
for
selected
multi-drug
resistant
bacteria.
Pharmaceuticals,
Journal Year:
2023,
Volume and Issue:
16(6), P. 891 - 891
Published: June 18, 2023
Artificial
intelligence
(AI)
has
the
potential
to
revolutionize
drug
discovery
process,
offering
improved
efficiency,
accuracy,
and
speed.
However,
successful
application
of
AI
is
dependent
on
availability
high-quality
data,
addressing
ethical
concerns,
recognition
limitations
AI-based
approaches.
In
this
article,
benefits,
challenges
drawbacks
in
field
are
reviewed,
possible
strategies
approaches
for
overcoming
present
obstacles
proposed.
The
use
data
augmentation,
explainable
AI,
integration
with
traditional
experimental
methods,
as
well
advantages
pharmaceutical
research
also
discussed.
Overall,
review
highlights
provides
insights
into
opportunities
realizing
its
field.
Note
from
human-authors:
This
article
was
created
test
ability
ChatGPT,
a
chatbot
based
GPT-3.5
language
model,
assist
human
authors
writing
articles.
text
generated
by
following
our
instructions
(see
Supporting
Information)
used
starting
point,
automatically
generate
content
evaluated.
After
conducting
thorough
review,
practically
rewrote
manuscript,
striving
maintain
balance
between
original
proposal
scientific
criteria.
using
purpose
discussed
last
section.
Pharmaceuticals,
Journal Year:
2023,
Volume and Issue:
16(11), P. 1615 - 1615
Published: Nov. 15, 2023
Antibiotics
have
revolutionized
medicine,
saving
countless
lives
since
their
discovery
in
the
early
20th
century.
However,
origin
of
antibiotics
is
now
overshadowed
by
alarming
rise
antibiotic
resistance.
This
global
crisis
stems
from
relentless
adaptability
microorganisms,
driven
misuse
and
overuse
antibiotics.
article
explores
subsequent
emergence
It
delves
into
mechanisms
employed
bacteria
to
develop
resistance,
highlighting
dire
consequences
drug
including
compromised
patient
care,
increased
mortality
rates,
escalating
healthcare
costs.
The
elucidates
latest
strategies
against
drug-resistant
encompassing
innovative
approaches
such
as
phage
therapy,
CRISPR-Cas9
technology,
exploration
natural
compounds.
Moreover,
it
examines
profound
impact
resistance
on
development,
rendering
pursuit
new
economically
challenging.
limitations
challenges
developing
novel
are
discussed,
along
with
hurdles
regulatory
process
that
hinder
progress
this
critical
field.
Proposals
for
modifying
facilitate
development
presented.
withdrawal
major
pharmaceutical
firms
research
examined,
potential
re-engage
interest.
also
outlines
initiatives
overcome
economic
incentivize
emphasizing
international
collaborations
partnerships.
Finally,
sheds
light
government-led
a
specific
focus
Middle
East.
discusses
proactive
measures
taken
governments
region,
Saudi
Arabia
United
Arab
Emirates,
combat
threat.
In
face
multifaceted
approach
imperative.
provides
valuable
insights
complex
landscape
challenges,
collaborative
efforts
required
ensure
future
where
remain
effective
tools
safeguarding
public
health.
Science,
Journal Year:
2023,
Volume and Issue:
381(6654), P. 164 - 170
Published: July 13, 2023
Despite
advances
in
molecular
biology,
genetics,
computation,
and
medicinal
chemistry,
infectious
disease
remains
an
ominous
threat
to
public
health.
Addressing
the
challenges
posed
by
pathogen
outbreaks,
pandemics,
antimicrobial
resistance
will
require
concerted
interdisciplinary
efforts.
In
conjunction
with
systems
synthetic
artificial
intelligence
(AI)
is
now
leading
rapid
progress,
expanding
anti-infective
drug
discovery,
enhancing
our
understanding
of
infection
accelerating
development
diagnostics.
this
Review,
we
discuss
approaches
for
detecting,
treating,
diseases,
underscoring
progress
supported
AI
each
case.
We
suggest
future
applications
how
it
might
be
harnessed
help
control
outbreaks
pandemics.
Nucleic Acids Research,
Journal Year:
2021,
Volume and Issue:
50(D1), P. D460 - D470
Published: Oct. 25, 2021
The
last
18
months,
or
more,
have
seen
a
profound
shift
in
our
global
experience,
with
many
of
us
navigating
once-in-100-year
pandemic.
To
date,
COVID-19
remains
life-threatening
pandemic
little
to
no
targeted
therapeutic
recourse.
discovery
novel
antiviral
agents,
such
as
vaccines
and
drugs,
can
provide
solutions
save
human
beings
from
severe
infections;
however,
there
is
specifically
effective
treatment
confirmed
for
now.
Thus,
great
attention
has
been
paid
the
use
natural
artificial
antimicrobial
peptides
(AMPs)
these
compounds
are
widely
regarded
promising
harmful
microorganisms.
Given
biological
significance
AMPs,
it
was
obvious
that
significant
need
single
platform
identifying
engaging
AMP
data.
This
led
creation
dbAMP
provides
comprehensive
information
about
AMPs
facilitates
their
investigation
analysis.
accumulated
26
447
2262
proteins
3044
organisms
using
both
database
integration
manual
curation
>4579
articles.
In
addition,
evaluation
structures
I-TASSER
automated
protein
structure
prediction
structure-based
functional
annotation,
providing
predictive
clinical
drug
development.
Next-generation
sequencing
(NGS)
third-generation
applied
generate
large-scale
reads
various
environments,
enabling
greatly
improved
analysis
genome
structure.
this
update,
we
launch
an
efficient
online
tool
effectively
identify
genome/metagenome
proteome
data
all
species
short
period.
conclusion,
improvements
promote
one
most
abundant
comprehensively
annotated
resources
AMPs.
updated
now
freely
accessible
at
http://awi.cuhk.edu.cn/dbAMP.
Antibiotics,
Journal Year:
2022,
Volume and Issue:
11(6), P. 784 - 784
Published: June 8, 2022
Artificial
intelligence
(AI)
is
a
branch
of
science
and
engineering
that
focuses
on
the
computational
understanding
intelligent
behavior.
Many
human
professions,
including
clinical
diagnosis
prognosis,
are
greatly
useful
from
AI.
Antimicrobial
resistance
(AMR)
among
most
critical
challenges
facing
Pakistan
rest
world.
The
rising
incidence
AMR
has
become
significant
issue,
authorities
must
take
measures
to
combat
overuse
incorrect
use
antibiotics
in
order
rates.
widespread
practice
not
only
resulted
drug
but
also
increased
threat
super-resistant
bacteria
emergence.
As
rises,
clinicians
find
it
more
difficult
treat
many
bacterial
infections
timely
manner,
therapy
becomes
prohibitively
costly
for
patients.
To
rise
rates,
implement
an
institutional
antibiotic
stewardship
program
monitors
correct
use,
controls
antibiotics,
generates
antibiograms.
Furthermore,
these
types
tools
may
aid
treatment
patients
event
medical
emergency
which
physician
unable
wait
culture
results.
AI's
applications
healthcare
might
be
unlimited,
reducing
time
takes
discover
new
antimicrobial
drugs,
improving
diagnostic
accuracy,
lowering
expenses
at
same
time.
majority
suggested
AI
solutions
meant
supplement
rather
than
replace
doctor's
prescription
or
opinion,
serve
as
valuable
tool
making
their
work
easier.
When
comes
infectious
diseases,
potential
game-changer
battle
against
resistance.
Finally,
when
selecting
infections,
data
local
programs
ensuring
treated
quickly
effectively.
organizations
such
World
Health
Organization
(WHO)
have
underlined
necessity
appropriate
treating
shortest
feasible
minimize
spread
resistant
invasive
strains.
Antibiotics,
Journal Year:
2023,
Volume and Issue:
12(3), P. 523 - 523
Published: March 6, 2023
Antimicrobial
resistance
(AMR)
is
emerging
as
a
potential
threat
to
many
lives
worldwide.
It
very
important
understand
and
apply
effective
strategies
counter
the
impact
of
AMR
its
mutation
from
medical
treatment
point
view.
The
intersection
artificial
intelligence
(AI),
especially
deep
learning/machine
learning,
has
led
new
direction
in
antimicrobial
identification.
Furthermore,
presently,
availability
huge
amounts
data
multiple
sources
made
it
more
use
these
techniques
identify
interesting
insights
into
genes
such
genes,
mutations,
drug
identification,
conditions
favorable
spread,
so
on.
Therefore,
this
paper
presents
review
state-of-the-art
challenges
opportunities.
These
include
input
features
posing
use,
deep-learning/machine-learning
models
for
robustness
high
accuracy,
challenges,
prospects
practical
purposes.
concludes
with
encouragement
AI
sector
intention
diagnosis
treatment,
since
presently
most
studies
are
at
early
stages
minimal
application
practice
disease.
