A broad-spectrum lasso peptide antibiotic targeting the bacterial ribosome
Nature,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Language: Английский
Phenotypic and Complete Reference Whole Genome Sequence Analyses of Two Paenibacillus spp. Isolates from a Gray Wolf (Canis lupus) Gastrointestinal Tract
Veterinary Sciences,
Journal Year:
2025,
Volume and Issue:
12(1), P. 51 - 51
Published: Jan. 13, 2025
Inflammatory
bowel
disease
(IBD)
is
increasing
among
mammals
around
the
world,
and
domestic
dogs
are
no
exception.
There
approved
cure
for
canine
IBD
with
limited
treatment
options.
Novel
probiotic
bacteria
discovery
from
free-ranging
animals
of
in
pets
can
likely
yield
promising
candidates.
Consequently,
overall
aim
was
to
isolate
that
could
potentially
be
utilized
as
novel
probiotics.
Two
identified
unique
Paenibacillus
spp.
strains
by
small
ribosomal
RNA
(16S)
gene
sequencing
were
isolated
gastrointestinal
tract
a
North
American
Gray
Wolf
(Canis
lupus).
The
typed
Gram-variable,
both
catalase/oxidase
positive
well
sensitive
commonly
used
antibiotics.
digested
complex
carbohydrates
lipids
standard
assays.
also
inhibited
growth
Staphylococcus
aureus
Micrococcus
luteus.
whole
genome
sequence
(WGS)
length
bacterial
ClWae17B
6,939,193
bp,
while
ClWae19
7,032,512
similar
size
other
genomes
encoded
enzymes
involved
metabolism
starches
lipids,
such
lyases
pectinases,
along
encoding
antimicrobials
lanthipeptides,
lasso
peptides,
cyclic-lactone-autoinducers.
No
pernicious
virulence
genes
WGS
either
isolate.
Phylogenetically,
most
closely
related
based
on
16S
sequences
P.
taichungensis
amylolyticus
ClWae19.
analyses
phenotypic
assays
supported
hypothesis
isolates
described
constitute
two
candidate
potential
use
dogs.
Language: Английский
Genome mining and heterologous expression reveal streptacidin, a new lasso peptide from Streptacidiphilus jiangxiensis
Ji‐Wu Huang,
No information about this author
Botao Cheng,
No information about this author
Chunyang Cao
No information about this author
et al.
Organic & Biomolecular Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
We
heterologously
produced
a
type
II
lasso
peptide
gene
cluster
that
was
mined
from
Streptacidiphilus
jiangxiensis
in
E.
coli
.
Streptacidin
is
the
first
documented
to
maintain
its
3D
structure
with
methionine
as
steric
lock.
Language: Английский
Overcoming Immune Checkpoint Inhibitor Resistance via Potent and Selective Dual αvβ6/8 Inhibitors Based on Engineered Lasso Peptides
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 1, 2025
Abstract
Integrins
αvβ6
and
αvβ8
in
the
tumor
microenvironment
(TME)
have
been
shown
to
activate
immunosuppressive
TGF-β,
which
serves
as
an
important
mechanism
for
immune
checkpoint
inhibitor
resistance
a
range
of
tumors.
In
this
study,
we
demonstrate
utility
lasso
peptides
versatile
scaffolds
designing
new
therapeutics.
A
series
highly
potent
selective
dual
αvβ6/8
inhibitors
were
engineered
through
combination
epitope
scanning,
computational
design,
directed
evolution.
Several
analogs,
such
lassotides
36
47
,
fully
characterized
physicochemical,
vitro
pharmacological,
vivo
data
are
reported.
Lassotide
half-life
extended
derivative
was
strongly
sensitize
anti-mPD-1-resistant
tumors
mice
when
dosed
with
inhibitor.
The
/anti-mPD-1
halt
growth
regress
mouse
models
triple
negative
breast
ovarian
cancers.
Dual
inhibition
integrins
expressed
TME
thus
represents
promising
tumor-specific
strategy
overcome
TGF-β-driven
enhance
anti-tumor
efficacy
inhibitors.
Language: Английский
Deep Learning-Assisted Discovery of Protein Entangling Motifs
Puqing Deng,
No information about this author
Lianjie Xu,
No information about this author
Ying Wei
No information about this author
et al.
Biomacromolecules,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 12, 2025
Natural
topological
proteins
exhibit
unique
properties
including
enhanced
stability,
controlled
quaternary
structures,
and
dynamic
switching
properties,
highlighting
topology
as
a
dimension
in
protein
engineering.
Although
artificial
design
synthesis
of
have
achieved
certain
success,
their
diversity
complexity
remain
rather
limited
due
to
the
scarcity
available
entangling
motifs
essential
for
construction
nontrivial
topologies.
In
this
work,
we
developed
deep-learning
model
predict
entanglement
features
homodimer
based
solely
on
its
amino
acid
sequence
via
Gauss
linking
number
matrices.
The
search
speed
that
was
dozens
times
faster
than
AlphaFold-Multimer,
while
maintaining
comparable
mean
squared
error.
It
used
screen
from
genome
hyperthermophilic
archaeon.
We
demonstrated
effectiveness
our
by
successful
wet-lab
catenanes
using
two
candidate
motifs.
These
findings
show
great
potential
advancing
novel
proteins.
Language: Английский
Biosynthesis of Collinodin Unveils Iterative Oxidative and Prenylation Modifications
ACS Catalysis,
Journal Year:
2025,
Volume and Issue:
unknown, P. 6628 - 6639
Published: April 8, 2025
Language: Английский
Lasso peptides: A focus on therapeutic index
World Journal of Microbiology and Biotechnology,
Journal Year:
2025,
Volume and Issue:
41(5)
Published: April 28, 2025
Language: Английский
LassoESM: A tailored language model for enhanced lasso peptide property prediction
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 29, 2024
Abstract
Ribosomally
synthesized
and
post-translationally
modified
peptides
(RiPPs)
comprise
a
structurally
functionally
diverse
group
of
natural
products.
Lasso
represent
one
about
50
known
molecular
classes
RiPPs,
which
display
characteristic
[1]
rotaxane
conformation
formed
by
lasso
cyclase.
This
unique,
threaded
endows
with
biological
activities
remarkable
thermal
proteolytic
stability.
The
prediction
peptide
properties,
such
as
substrate
compatibility
particular
cyclase
or
desired
activity,
remains
challenging
due
to
limited
experimental
data
the
intricate
nature
fitness
landscapes.
Protein
language
models
(PLMs)
have
demonstrated
impressive
performance
in
predicting
protein
structure
function.
However,
general-purpose
PLMs
perform
poorly
peptide-related
predictive
tasks.
Therefore,
there
is
need
provide
effective
representations
for
enable
enhanced
property
prediction.
In
this
study,
we
developed
peptide-specific
model
(LassoESM)
leveraging
advances
pre-trained
aid
related
properties
experimentally
validate
predictions.
We
demonstrate
that
LassoESM
embeddings
can
accurately
predict
interest
when
training
was
scarce.
Using
deep
learning
framework
incorporating
cross-attention
between
embeddings,
identify
non-cognate
pairs
cyclases
predicted
compatibility.
further
show
improve
RNA
polymerase
inhibitory
represents
activity
several
peptides.
anticipate
future
iterations
thereof
will
be
instrumental
rational
design
properties.
Language: Английский
Predictions to Increase Lasso Peptide Production in the Heterologous Host Streptomyces coelicolor M1152
Biotechnology and Bioengineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 29, 2024
ABSTRACT
Production
of
specialized
metabolites
are
restricted
to
the
metabolic
capabilities
organisms.
Genome‐scale
models
(GEM)s
useful
study
whole
metabolism
and
find
engineering
targets
increase
yield
a
target
compound.
In
this
work
we
use
modified
model
Streptomyces
coelicolor
M145
simulate
production
lagmysin
A
(LP4)
novel
B
(LP2)
lasso
peptide,
in
heterologous
host
M1152.
Overexpression
were
identified
using
flux
scanning
based
on
enforced
objective
(FSEOF)
algorithm
variability
analysis
(FVA),
considering
growth
minimum
complex
medium.
Thirteen
reactions
found
as
candidate
for
both
peptides
settings.
We
propose
overexpression
enzymes
glycolysis
pathway
(GAPD,
PGK,
PGM
ENO)
leucine
biosynthesis
(IPPS,
IPPMIb,
IPPMIa,
IPMD
OMCDC)
enhance
either
or
B.
Language: Английский