Antibiotics,
Год журнала:
2022,
Номер
11(7), С. 952 - 952
Опубликована: Июль 15, 2022
Antibiotic
resistance
is
a
global
health
crisis
increasing
in
prevalence
every
day.
To
combat
this
crisis,
alternative
antimicrobial
therapeutics
are
urgently
needed.
Antimicrobial
peptides
(AMPs),
family
of
short
defense
proteins,
produced
naturally
by
all
organisms
and
hold
great
potential
as
effective
alternatives
to
small
molecule
antibiotics.
Here,
we
present
rAMPage,
scalable
bioinformatics
discovery
platform
for
identifying
AMP
sequences
from
RNA
sequencing
(RNA-seq)
datasets.
In
our
study,
demonstrate
the
utility
scalability
running
it
on
84
publicly
available
RNA-seq
datasets
75
amphibian
insect
species-species
known
have
rich
repertoires.
Across
these
datasets,
identified
1137
putative
AMPs,
1024
which
were
deemed
novel
homology
search
cataloged
AMPs
public
databases.
We
selected
21
peptide
set
susceptibility
testing
against
Escherichia
coli
Staphylococcus
aureus
observed
that
seven
them
high
activity.
Our
study
illustrates
how
silico
methods
such
rAMPage
can
enable
fast
efficient
an
first
step
strenuous
process
drug
development.
Advanced Biology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Abstract
The
increasing
morbidity
and
mortality
caused
by
multidrug‐resistant
bacteria
alerts
human
beings
to
the
fact
that
conventional
antibiotics
are
no
longer
reliable
effective
alternatives
imperatively
needed.
Owing
wide
range
of
sources,
diverse
structures,
unique
mode
action,
antimicrobial
peptides
have
been
highly
anticipated
extensively
studied
in
recent
years.
Besides,
integration
artificial
intelligence
helps
researchers
gain
access
vast
unexplored
chemical
space,
which
opens
more
opportunities
for
optimization
design
novel
structures.
Moreover,
Due
advances
chemistry
synthetic
biology,
also
begun
focus
on
potential
mimetics
peptides.
In
this
review,
a
comprehensive
discussion
about
natural
synthesized
as
well
their
is
made,
so
provide
summary
field
inspire
follow‐up
research.
The
exploration
of
latex
from
medicinal
plants
has
unveiled
a
promising
source
antimicrobial
peptides
(AMPs),
proteins
and
enzymes
with
significant
therapeutic
potentials.
Despite
their
value,
these
sources
remain
underutilized.
Latex,
complex,
viscous
fluid
secreted
by
specific
plants,
in
the
Euphorbiaceae,
Apocynaceae,
Moraceae,
Papaveraceae,
Asclepiadaceae
families,
serves
multiple
functions,
including
wound
healing,
protection
against
herbivores,
most
importantly,
as
defense
microbial
pathogens
This
review
provides
an
overview
latex-producing
emphasizing
role
discovery
molecules.
Notable
among
is
Hevea
brasiliensis,
hevein
hevein-like
peptides,
which
have
demonstrated
antifungal
antibacterial
activities.
Other
key
AMPs
are
cysteine-rich
lectins
that
exhibit
potent
properties.
Additionally,
peptidases
proteases
obtained
garnered
attention
for
potential
both
activity
enhancement
peptide
stability
efficacy.
These
molecules
act
through
unique
mechanisms,
disrupting
cell
membranes,
making
them
valuable
candidates
fight
multidrug-resistant
pathogens.
They
underscore
contribution
to
modern
research.
While
discoveries
hold
great
promises,
some
challenges
still
exist.
Interestingly,
biotechnology
advancements
synthesis
genetic
engineering
improved
latex-derived
biomolecules
enabling
large-scale
production
modification,
enhancing
stability,
potency,
effectiveness
use.
Also,
integration
genomic
proteomic
tools
will
further
unlock
full
potentials,
paving
way
novel
agents
capable
addressing
antibiotic
resistance.
Biotechnology Advances,
Год журнала:
2023,
Номер
69, С. 108250 - 108250
Опубликована: Сен. 6, 2023
Endolysins
are
bacteriophage-encoded
enzymes
that
can
specifically
degrade
the
peptidoglycan
layer
of
bacterial
cell
wall,
making
them
an
attractive
tool
for
development
novel
antibacterial
agents.
The
use
genetic
engineering
techniques
production
and
modification
endolysins
offers
opportunity
to
customize
their
properties
activity
against
specific
targets,
paving
way
personalized
therapies
infections.
Gram-negative
bacteria
possess
outer
membrane
hinder
action
recombinantly
produced
endolysins.
However,
certain
capable
crossing
by
virtue
segments
share
resembling
those
cationic
peptides.
These
regions
increase
affinity
endolysin
towards
surface
assist
in
permeabilization
membrane.
In
order
improve
bactericidal
effectiveness
endolysins,
approaches
have
been
implemented
net
charge,
including
Artilysins
containing
positively
charged
amino
acids
at
one
end.
At
present,
there
no
guidelines
outlining
steps
implementing
these
modifications.
There
is
ongoing
debate
surrounding
optimal
location
positive
need
a
linker
region,
acid
composition
peptides
modifying
aim
this
study
provide
clarity
on
topics
analyzing
comparing
most
effective
modifications
found
previous
literature.
Peptides
have
a
plethora
of
activities
in
biological
systems
that
can
potentially
be
exploited
biotechnologically.
Several
peptides
are
used
clinically,
as
well
industry
and
agriculture.
The
increase
available
'omics
data
has
recently
provided
large
opportunity
for
mining
novel
enzymes,
biosynthetic
gene
clusters,
molecules.
While
these
primarily
consist
DNA
sequences,
other
types
provide
important
complementary
information.
Due
to
their
size,
the
approaches
proven
successful
at
discovering
proteins
canonical
size
cannot
naïvely
applied
discovery
peptides.
encoded
directly
genome
short
open
reading
frames
(smORFs),
or
they
derived
from
larger
by
proteolysis.
Both
peptide
classes
pose
challenges
simple
methods
prediction
result
numbers
false
positives.
Similarly,
functional
annotation
proteins,
traditionally
based
on
sequence
similarity
infer
orthology
then
transferring
functions
between
characterized
uncharacterized
ones,
sequences.
use
techniques
is
much
more
limited
alternative
machine
learning
instead.
Here,
we
review
limitations
traditional
been
developed
bioactive
with
focus
prokaryotic
genomes
metagenomes.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 23, 2024
Anticancer
peptides
(ACPs)
perform
a
promising
role
in
discovering
anti-cancer
drugs.
The
growing
research
on
ACPs
as
therapeutic
agent
is
increasing
due
to
its
minimal
side
effects.
However,
identifying
novel
using
wet-lab
experiments
are
generally
time-consuming,
labor-intensive,
and
expensive.
Leveraging
computational
methods
for
fast
accurate
prediction
of
would
harness
the
drug
discovery
process.
Herein,
machine
learning-based
predictor,
called
PLMACPred,
developed
from
peptide
sequence
only.
PLMACPred
adopted
set
encoding
schemes
representing
evolutionary-property,
composition-property,
protein
language
model
(PLM),
i.e.,
evolutionary
scale
modeling
(ESM-2)-
ProtT5-based
embedding
encode
peptides.
Then,
two-dimensional
(2D)
wavelet
denoising
(WD)
was
employed
remove
noise
extracted
features.
Finally,
ensemble-based
cascade
deep
forest
(CDF)
identify
ACP.
attained
superior
performance
all
three
benchmark
datasets,
namely,
ACPmain,
ACPAlter,
ACP740
over
tenfold
cross
validation
independent
dataset.
outperformed
existing
models
improved
accuracy
by
18.53%,
2.4%,
7.59%
ACPalter,
dataset,
respectively.
We
showed
that
ProtT5
ESM-2
capable
capturing
better
contextual
information
entire
than
other
ACP
prediction.
For
explainability
proposed
model,
SHAP
(SHapley
Additive
exPlanations)
method
used
analyze
feature
effect
A
list
motifs
MEME
suites.
believe,
will
support
accelerating
well
activities
microbial
Biotechnology Advances,
Год журнала:
2023,
Номер
68, С. 108223 - 108223
Опубликована: Авг. 1, 2023
Agricultural
systems
are
in
need
of
low-cost,
safe
antibiotics
to
protect
crops
from
pests
and
diseases.
Peptaibiotics,
a
family
linear,
membrane-active,
amphipathic
polypeptides,
have
been
shown
exhibit
antibacterial,
antifungal,
antiviral
activity,
be
inducers
plant
resistance
against
wide
range
phytopathogens.
Peptaibiotics
belong
the
new
generation
alternatives
agrochemicals,
aligned
with
United
Nations
Sustainable
Development
Goals
One
Health
approach
toward
ensuring
global
food
security
safety.
Despite
that,
these
fungi-derived,
non-ribosomal
peptides
remain
surprisingly
understudied,
especially
agriculture,
where
only
small
number
has
tested
reduced
This
lack
adoption
stems
peptaibiotics'
poor
water
solubility
difficulty
synthesize
purify
them
vitro,
which
compromises
their
delivery
inclusion
formulations.
In
this
review,
we
offer
comprehensive
analysis
classification,
biosynthesis,
relevance
protection,
mode
action
phytopathogens,
along
techniques
enabling
researchers
extract,
purify,
elucidate
structure,
databases
holding
such
valuable
data.
It
is
also
discussed
how
chemical
synthesis
ionic
liquids
could
increase
solubility,
genetic
engineering
epigenetics
boost
vitro
production,
omics
can
reduce
screenings'
workload
through
silico
selection
best
candidates.
These
strategies
turn
peptaibiotics
into
effective,
ultra-specific,
biodegradable
tools
for
phytopathogen
control.
Pharmaceutics,
Год журнала:
2023,
Номер
15(8), С. 2091 - 2091
Опубликована: Авг. 6, 2023
Membrane-active
peptides
(MAPs)
possess
unique
properties
that
make
them
valuable
tools
for
studying
membrane
structure
and
function
promising
candidates
therapeutic
applications.
This
review
paper
provides
an
overview
of
the
fundamental
aspects
MAPs,
focusing
on
their
interaction
mechanisms
potential
MAPs
exhibit
various
structural
features,
including
amphipathic
structures
specific
amino
acid
residues,
enabling
selective
with
multiple
membranes.
Their
action
involve
disrupting
lipid
bilayers
through
different
pathways,
depending
peptide
composition.
The
is
significant.
They
have
demonstrated
antimicrobial
activity
against
bacteria
fungi,
making
alternatives
to
conventional
antibiotics.
can
selectively
target
cancer
cells
induce
apoptosis,
opening
new
avenues
in
therapeutics.
Additionally,
serve
as
drug
delivery
vectors,
facilitating
transport
cargoes
across
cell
represent
a
fascinating
class
biomolecules
significant
basic
research
clinical
Understanding
designing
enhanced
selectivity
efficacy
will
further
expand
utility
diverse
fields.
Exploring
holds
promise
developing
novel
strategies
infections,
cancer,
challenges.