Advances in bioinformatics and biomedical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 23 - 68
Опубликована: Сен. 27, 2024
Genomics
is
an
exciting
and
rapidly
evolving
field
at
the
intersection
of
biology,
computer
science,
statistics,
which
has
made
remarkable
strides
in
recent
years
thanks
to
advancements
high-throughput
sequencing
technologies.
This
allows
us
analyze
understand
genetic
code
organisms,
from
humans
microorganisms,
shedding
light
on
everything
diagnosis
treatment
disorders
identification
disease-causing
genes
pathogens,
mysteries
biodiversity.
With
its
wide
range
applications,
genomics
transforming
our
understanding
life
itself.
The
world
is
changing
due
to
factors
like
bioterrorism,
massive
environmental
changes,
globalization
of
trade
and
commerce,
growing
urbanization,
climate,
pollution.
Numerous
diseases
have
emerged
because
these
factors,
especially
in
companion
food-producing
animals.
pathogens
established
themselves
naïve
populations,
harming
reproduction,
productivity,
health.
Bioinformatics
considered
a
valuable
tool
infectious
disease
research,
as
it
provides
comprehensive
overview
the
identification
pathogens,
their
genetic
makeup,
evolutionary
relationship.
Therefore,
there
an
urgent
need
for
novel
bioinformatics
approach
help
decipher
model
viral
epidemiology
informatics
on
domestic
animals
livestock.
With
significant
advancements
NGS,
researchers
can
now
identify
contigs,
which
are
contiguous
sequences
DNA
that
assembled
from
overlapping
fragments,
assemble
complete
genome,
perform
phylogenetic
analysis
diagnose,
investigate
risk
animals,
handle
share
large
biological
datasets
across
various
species.
Additionally,
multi-omics
data
integration
further
deepens
our
understanding
homology,
divergence,
mutations,
relationships,
providing
perspective
molecular
mechanisms
driving
animal
infections.
This
review
aims
reveal
importance
utilizing
multidisciplinary
areas
bioinformatics,
genomics,
proteomics,
transcriptomics,
metabolomics,
metagenomics
roles
studying
veterinary
medicine
will
eventually
improve
health
Foods,
Год журнала:
2024,
Номер
13(23), С. 3886 - 3886
Опубликована: Дек. 1, 2024
Foodborne
pathogens
are
microorganisms
that
cause
illness
through
contamination,
presenting
significant
risks
to
public
health
and
food
safety.
This
review
explores
the
metabolites
produced
by
these
pathogens,
including
toxins
secondary
metabolites,
their
implications
for
human
health,
particularly
concerning
cancer
risk.
We
examine
various
such
as
Salmonella
sp.,
Campylobacter
Escherichia
coli,
Listeria
monocytogenes,
detailing
specific
of
concern
carcinogenic
mechanisms.
study
discusses
analytical
techniques
detecting
chromatography,
spectrometry,
immunoassays,
along
with
challenges
associated
detection.
covers
effective
control
strategies,
processing
techniques,
sanitation
practices,
regulatory
measures,
emerging
technologies
in
pathogen
control.
manuscript
considers
broader
highlighting
importance
robust
policies,
awareness,
education.
identifies
research
gaps
innovative
approaches,
recommending
advancements
detection
methods,
preventive
policy
improvements
better
manage
foodborne
metabolites.
Expert Opinion on Drug Metabolism & Toxicology,
Год журнала:
2024,
Номер
20(4), С. 181 - 195
Опубликована: Март 14, 2024
Pharmacokinetic
parameters
assessment
is
a
critical
aspect
of
drug
discovery
and
development,
yet
challenges
persist
due
to
limited
training
data.
Despite
advancements
in
machine
learning
in-silico
predictions,
scarcity
data
hampers
accurate
prediction
candidates'
pharmacokinetic
properties.
Frontiers in Molecular Biosciences,
Год журнала:
2024,
Номер
11
Опубликована: Сен. 9, 2024
The
COVID-19
pandemic,
caused
by
SARS-CoV-2,
has
led
to
significant
challenges
worldwide,
including
diverse
clinical
outcomes
and
prolonged
post-recovery
symptoms
known
as
Long
COVID
or
Post-COVID-19
syndrome.
Emerging
evidence
suggests
a
crucial
role
of
metabolic
reprogramming
in
the
infection's
long-term
consequences.
This
study
employs
novel
approach
utilizing
machine
learning
(ML)
explainable
artificial
intelligence
(XAI)
analyze
alterations
patients.
Samples
were
taken
from
cohort
142
COVID-19,
48
Post-COVID-19,
38
control
patients,
comprising
111
identified
metabolites.
Traditional
analysis
methods,
like
PCA
PLS-DA,
compared
with
ML
techniques,
particularly
eXtreme
Gradient
Boosting
(XGBoost)
enhanced
SHAP
(SHapley
Additive
exPlanations)
values
for
explainability.
XGBoost,
combined
SHAP,
outperformed
traditional
demonstrating
superior
predictive
performance
providing
new
insights
into
basis
disease's
progression
aftermath.
revealed
metabolomic
subgroups
within
conditions,
suggesting
heterogeneous
responses
infection
its
impacts.
Key
signatures
include
taurine,
glutamine,
alpha-Ketoglutaric
acid,
LysoPC
C16:0.
highlights
potential
integrating
XAI
fine-grained
description
metabolomics
research,
offering
more
detailed
understanding
anomalies
conditions.
Frontiers in Nanotechnology,
Год журнала:
2024,
Номер
6
Опубликована: Фев. 9, 2024
A
nanobiosensor
is
a
tool
that
converts
biological
stimulus
into
an
electrical
output
via
nanosized
transducer
elements.
Nanobiosensors
are
promising
instruments,
especially
in
biomedical
applications
the
literature
and
industry.
To
develop
from
idea
to
product,
life-cycle
approach
comprises
various
processes
ranging
conception
through
commercialization
required.
Developers
potential
investors
should
examine
market
requirements,
design
possibilities,
feasibility,
financial
return,
risk
assessments
when
developing
development
concept.
It
critical
establish
well-defined
regulatory
pathway
for
bringing
innovation
at
low
cost
short
period.
R&D
conduct
thorough
examinations
of
nanomaterial
toxicity
health
effects,
involving
marketing,
advertising,
analysis.
Stakeholders
discuss
technology
transfer
office
protocols
faster,
healthier
operations.
