Current Opinion in Structural Biology,
Journal Year:
2025,
Volume and Issue:
92, P. 103040 - 103040
Published: March 31, 2025
In
this
perspective,
we
analyse
the
progress
made
in
our
knowledge
of
enzyme
sequences,
structures
and
functions
last
2
years.
We
review
how
much
new
data
have
been
garnered
annotated,
derived
from
study
proteins
using
structural
computational
approaches.
Recent
advances
towards
capturing
'Catalysis
silico'
are
described,
including
predictions
structures,
their
interactions
mechanisms.
highlight
flood
data,
driven
by
metagenomic
sequencing,
improved
resources,
high
coverage
Protein
Data
Bank
E.C.
classes
AI-driven
structure
prediction
techniques
that
facilitate
accurate
protein
structures.
note
focus
on
disordered
regions
context
regulation
specificity
comment
emerging
bioinformatic
approaches
capture
reaction
mechanisms
computationally
for
comparing
predicting
also
consider
drivers
field
next
five
Sustainable Food Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
AI
significantly
transforms
the
food
business
by
optimizing
production
processes
of
therapeutic
Ganoderma
spp.
and
improving
quality
safety
control
based
functional
food.
World Journal of Clinical Cases,
Journal Year:
2025,
Volume and Issue:
13(20)
Published: April 8, 2025
BACKGROUND
Endometriosis
is
a
clinical
condition
characterized
by
the
presence
of
endometrial
glands
outside
uterine
cavity.
While
its
incidence
remains
mostly
uncertain,
endometriosis
impacts
around
180
million
women
worldwide.
Despite
presentation
several
epidemiological
and
explanations,
precise
mechanism
underlying
disease
ambiguous.
In
recent
years,
researchers
have
examined
hereditary
dimension
disease.
Genetic
research
has
aimed
to
discover
gene
or
genes
responsible
for
through
association
linkage
studies
involving
candidate
DNA
mapping
techniques.
AIM
To
identify
genetic
biomarkers
linked
application
machine
learning
(ML)
approaches.
METHODS
This
case-control
study
accounted
open-access
transcriptomic
data
set
control
group.
We
included
from
22
controls
16
patients
this
purpose.
used
AdaBoost,
XGBoost,
Stochasting
Gradient
Boosting,
Bagged
Classification
Regression
Trees
(CART)
classification
using
five-fold
cross
validation.
evaluated
performance
models
measures
accuracy,
balanced
sensitivity,
specificity,
positive
predictive
value,
negative
value
F1
score.
RESULTS
CART
gave
best
metrics.
The
metrics
obtained
model
are
85.7%,
100%,
75%,
100%
85.7%
score,
respectively.
Based
on
variable
importance
modeling,
we
can
use
CUX2
,
CLMP
CEP131
EHD4
CDH24
ILRUN
LINC01709
HOTAIR
SLC30A2
NKG7
other
transcripts
with
inaccessible
names
as
potential
endometriosis.
CONCLUSION
determined
possible
genomic
with/without
applied
ML
successfully
classified
created
highly
accurate
diagnostic
prediction
model.
Future
could
explain
pathology
endometriosis,
non-invasive
method
replace
invasive
ones.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 73 - 98
Published: March 14, 2025
Modern
digital
ecosystems
may
be
open,
compliant,
and
safe
only
by
following
data
back
to
its
source.
This
chapter
covers
the
background,
relevance,
function
of
lineage
in
governance
DevSecOps
completely.
Emphasizing
requirement
metadata
management,
policy-driven
systems
for
maintaining
integrity,
automated
tracking,
Thanks
growth
cloud-native
architectures
artificial
intelligence-driven
analytics,
companies
realize
more
real-time
tracking
risk
management
regulatory
compliance.
Investigated
alongside
challenges
like
complexity,
scalability
problems,
a
lack
interoperability
are
innovations,
including
blockchain-based
AI-enhanced
lineage.
explains
that
good
is
benefit
than
need.
Establishing
trust
crucial
provides
with
tools
negotiate
complex
today
confidently.
Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
72(21), P. 11871 - 11884
Published: May 14, 2024
Genome
editing
is
a
crucial
technology
for
obtaining
desired
phenotypes
in
variety
of
species,
ranging
from
microbes
to
plants,
animals,
and
humans.
With
the
advent
CRISPR-Cas
technology,
it
has
become
possible
edit
intended
sequence
by
modifying
target
recognition
guide
RNA
(gRNA).
By
expressing
multiple
gRNAs
simultaneously,
targets
at
same
time,
allowing
simultaneous
introduction
various
functions
into
cell.
This
can
significantly
reduce
time
cost
engineered
microbial
strains
specific
traits.
In
this
review,
we
investigate
resolution
multiplex
genome
its
application
engineering
microorganisms,
including
bacteria
yeast.
Furthermore,
examine
how
recent
advancements
artificial
intelligence
could
assist
engineering.
Based
on
these
insights,
present
our
perspectives
future
evolution
potential
impact
technologies
agriculture
food
industry.
The
beginning
and
ripening
of
digital
chemistry
is
analyzed
focusing
on
the
role
artificial
intelligence
(AI)
in
an
expected
leap
chemical
sciences
to
bring
this
area
next
evolutionary
level.
analytic
description
selects
highlights
top
20
AI-based
technologies
7
broader
themes
that
are
reshaping
field.
It
underscores
integration
tools
such
as
machine
learning,
big
data,
twins,
Internet
Things
(IoT),
robotic
platforms,
smart
control
processes,
virtual
reality
blockchain,
among
many
others,
enhancing
research
methods,
educational
approaches,
industrial
practices
chemistry.
significance
study
lies
its
focused
overview
how
these
innovations
foster
a
more
efficient,
sustainable,
innovative
future
sciences.
This
article
not
only
illustrates
transformative
impact
but
also
draws
new
pathways
chemistry,
offering
broad
appeal
researchers,
educators,
industry
professionals
embrace
advancements
for
addressing
contemporary
challenges
