Journal of Chemical Information and Modeling,
Journal Year:
2024,
Volume and Issue:
64(22), P. 8387 - 8395
Published: Nov. 1, 2024
Peptaloid
is
the
first
dedicated
database
for
peptide
alkaloid
molecules,
a
unique
class
of
naturally
derived
compounds
known
their
structural
diversity
and
significant
biological
activities.
Despite
promising
potential
in
drug
discovery
therapeutic
development,
research
on
alkaloids
has
been
limited
by
absence
comprehensive
centralized
resource.
Fragmented
data
across
various
sources
have
posed
challenge,
underscoring
need
specialized
to
facilitate
more
efficient
application.
addresses
this
critical
gap
providing
with
over
161,000
entries,
each
detailed
structural,
physicochemical,
pharmacological
properties.
By
leveraging
advanced
computational
tools
machine
learning,
generates
ADMET
profiles,
aiding
identifying
optimizing
candidates.
Designed
versatility,
supports
applications
beyond
discovery,
including
ecology
material
sciences.
(as
alkaloids)
will
play
crucial
role
innovation
collaboration
scientific
disciplines.
accessible
at
https://peptaloid.niser.ac.in.
Nucleic Acids Research,
Journal Year:
2024,
Volume and Issue:
53(D1), P. D595 - D603
Published: Oct. 16, 2024
Abstract
Synthetic
binding
proteins
(SBPs)
represent
a
pivotal
class
of
artificially
engineered
proteins,
meticulously
crafted
to
exhibit
targeted
properties
and
specific
functions.
Here,
the
SYNBIP
database,
comprehensive
resource
for
SBPs,
has
been
significantly
updated.
These
enhancements
include
(i)
featuring
3D
structures
899
SBP–target
complexes
illustrate
epitopes
(ii)
using
SBPs
in
monomer
or
complex
forms
with
target
their
sequence
space
expanded
five
times
12
025
by
integrating
structure-based
protein
generation
framework
property
prediction
tool,
(iii)
offering
detailed
information
on
78
473
newly
identified
SBP-like
scaffolds
from
RCSB
Protein
Data
Bank,
an
additional
16
401
555
ones
AlphaFold
Structure
Database,
(iv)
database
is
regularly
updated,
incorporating
153
new
SBPs.
Furthermore,
structural
models
all
have
enhanced
through
application
AlphaFold2,
clinical
statuses
concurrently
refreshed.
Additionally,
design
methods
employed
each
SBP
are
now
prominently
featured
database.
In
sum,
2.0
designed
provide
researchers
essential
data,
facilitating
innovation
research,
diagnosis
therapy.
freely
accessible
at
https://idrblab.org/synbip/.
The Journal of Physical Chemistry B,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 14, 2025
Solid-binding
peptides
have
emerged
as
a
distinct
class
of
peptides,
offering
significant
potential
for
biohybrid
materials
technologies
due
to
their
ability
bind
selectively
specific
target
material
and
integrate
different
with
bioactive
molecules
ease
biochemical
genetic
conjugation
proteins.
Their
vast
applications
span
health
nonmedical
including
biocatalysis,
biosensing,
agriculture,
well
sustainable
engineering
platforms.
As
these
continue
expand,
it
is
critical
understand
the
optimal
performance
conditions
develop
fundamental
understanding
factors
controlling
binding
surface
organization
that
lead
self-assembled
properties
at
interfaces.
In
this
work,
self-assembly
one
such
peptide,
AuBP1
(WAGAKRLVLRRE),
was
revisited
through
atomic
force
microscopy
(AFM)
studies
conducted
on
Au(111)
gain
further
insight
into
assembly
process.
Peptide
film
coverage
monitored
function
adsorption
time
(seconds
hours)
concentration
peptide
(1
fM
10
μM).
Our
analysis
reveals
initial
isolated
followed
by
large-scale
network
clustered
slower
filling
remaining
sites
uniform
film,
finally
reorganization
film.
observations
suggest
multistep
process
involving
both
peptide-peptide
peptide-surface
interactions
cooperatively
influence
transitions.
We
compared
noncooperative
semicooperative
models,
which
provided
additional
growth
phase
Understanding
real-time
kinetics
boundary
robust
films
could
extend
utilization
material-binding
future
technologies.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(14), P. 6107 - 6107
Published: July 12, 2024
Flame
retardants
are
commonly
used
to
reduce
fire
risk
in
various
products
and
environments,
including
textiles.
While
many
of
these
additives
contain
harmful
substances,
efforts
underway
their
usage.
Current
research
aims
minimize
flame-retardant
quantities
enhance
durability
against
external
factors.
This
involves
utilizing
anchor
peptides
or
material-binding
(MBPs),
which
versatile
molecules
that
bind
strongly
surfaces
like
MBPs
can
be
equipped
with
functional
molecules,
e.g.,
additives,
by
chemical
enzymatic
bioconjugation.
In
this
research,
biohybrid
flame
an
adapted
finishing
process
developed.
Specifically,
biobased
adhesion
promoters,
the
so-called
MBPs,
finish
textiles
additives.
To
date,
there
is
no
for
treating
so
a
laboratory-scale
based
on
foulard
was
Necessary
parameters,
such
as
take-off
speed
contact
pressure
squeezing
rollers,
determined
experimentally.
order
develop
process,
trials
designed
carried
out.
Part
testing
comparison
different
(e.g.,
glass
woven
fabrics
aramid
fabrics)
under
conditions
ratios
retardants).
The
finished
then
analysed
validated
regarding
flammability
amount
adhered
retardants.
Proteoglycan Research,
Journal Year:
2024,
Volume and Issue:
2(3)
Published: July 1, 2024
Abstract
Peptides
that
increase
pro‐reparative
responses
to
injury
and
disease
by
modulating
the
functional
organization
of
hyaluronan
(HA)
with
its
cell
surface
binding
proteins
(e.g.,
soluble
receptor
for
hyaluronan‐mediated
motility
[RHAMM]
integral
membrane
CD44)
have
potential
therapeutic
value.
The
RHAMM
HA
is
an
attractive
target,
since
normally
absent
or
expressed
at
low
levels
in
homeostatic
conditions,
but
expression
significantly
elevated
extracellular
matrix
during
tissue
stress,
response‐to‐injury,
cancers
inflammation‐based
diseases.
HA‐binding
site
contains
two
closely
spaced
sequences
clustered
basic
amino
acids,
alpha‐helical
conformation.
In
present
communication,
we
test
whether
conformation
required
effective
peptide
HA,
competitive
disruption
HA–RHAMM
interaction.
RHAMM‐competitive
P15‐1,
identified
using
unbiased
approach
phage
display,
was
examined
circular
dichroism
spectroscopy
conformation‐predictive
AI‐based
AlphaFold2
algorithm.
Unlike
RHAMM,
P15‐1
found
adopt
irregular
conformations
solution
rather
than
alpha
helices.
Instead,
our
structural
analysis
suggests
primary
determinant
peptide‐HA
associated
a
specific
clustering
spacing
pattern
allowing
favorable
electrostatic
interaction
carboxylate
groups
on
HA.