Application of an Interdisciplinary Approach to Form Selection in Drug Development
Organic Process Research & Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 25, 2025
Язык: Английский
Laccase-based biocatalytic systems application in sustainable degradation of pharmaceutically active contaminants
Journal of Hazardous Materials,
Год журнала:
2024,
Номер
485, С. 136803 - 136803
Опубликована: Дек. 7, 2024
The
outflow
of
pharmaceutically
active
chemicals
(PhACs)
exerts
a
negative
impact
on
biological
systems
even
at
extremely
low
concentrations.
For
instance,
enormous
threats
to
human
and
aquatic
species
have
resulted
from
the
widespread
use
antibiotics
in
ecosystems,
which
stimulate
emergence
formation
antibiotic-resistant
bacterial
associated
genes.
Additionally,
it
is
challenging
eliminate
these
PhACs
by
employing
conventional
physicochemical
water
treatment
techniques.
Enzymatic
approaches,
including
laccase,
been
identified
as
promising
alternative
broad
array
matrices.
However,
their
application
environmental
bioremediation
hindered
several
factors,
enzyme's
stability
its
location
aqueous
environment.
Such
obstacles
may
be
surmounted
laccase
immobilization,
enables
enhanced
(including
inactivation
caused
substrate),
thus
improved
catalysis.
This
review
emphasizes
potential
hazards
organisms
within
detection
concentration
range
ngL-1
µgL-1,
well
deployment
laccase-based
multifunctional
biocatalytic
for
environmentally
friendly
mitigation
anticancer
drugs,
analgesics/NSAIDs,
antibiotics,
antiepileptic
agents,
beta
blockers
micropollutants.
approach
could
reduce
underlying
toxicological
consequences.
In
addition,
current
developments,
applications,
viewpoints
focused
computer-assisted
investigations
laccase-PhACs
binding
enzyme
cavities
degradability
prediction.
Язык: Английский
Stability of the antibiotic ceftaroline fosamil with focus on degradation products and decomposition pathways – integrative analysis by LC-DAD, ESI-QTOF and in silico prediction
Journal of Pharmaceutical and Biomedical Analysis,
Год журнала:
2025,
Номер
unknown, С. 116876 - 116876
Опубликована: Апрель 1, 2025
Язык: Английский
A Novel Linear Discriminant Analysis Approach for In Silico Prediction of Amlodipine Besylate Degradation in the Presence of a Second Drug in Combination
Next research.,
Год журнала:
2025,
Номер
unknown, С. 100409 - 100409
Опубликована: Май 1, 2025
Язык: Английский
Resources for Accelerating Medicine Discovery
Maria Cristina Garcia‐Paredes,
Pushkar G. Ghanekar,
Rachel K. Chambers
и другие.
Burger's Medicinal Chemistry and Drug Discovery,
Год журнала:
2025,
Номер
unknown, С. 1 - 57
Опубликована: Май 26, 2025
Abstract
Using
artificial
intelligence
and
machine
learning,
computational
tools
are
increasingly
accelerating
new
medicine
discovery.
Applications
to
the
stages
of
drug
discovery,
including
target
identification,
hit
lead
optimization,
developability
assessment,
described.
This
chapter
provides
a
compilation
databases,
software
packages,
web‐based
applications
for
evaluation,
optimization
molecules.
Язык: Английский
An amalgamation of LC-MS HDX and AI-based software for structure prediction of drug degradation products: An integrated step towards pharmaceutical development
Sonali Jain,
Narasimha Swamy Palle,
Ananda Rajkumar Kuppusamy
и другие.
Analytical Chemistry Letters,
Год журнала:
2024,
Номер
14(2), С. 170 - 177
Опубликована: Апрель 11, 2024
AbstractStructure
identification
of
drug
degradation
products
is
one
the
key
components
any
pharmaceutical
product
development.
Knowledge-based
in-silico
tools
are
widely
used
to
predict
probable
and
excipient
interaction
products.
However,
multiple
structures
same
masses
predicted
through
this
software,
which
makes
correct/exact
structure
difficult.
In
study,
utilization
a
simple
yet
powerful
analytical
tool,
LC-MS
HDX
was
explored
for
improving
predictive
capability
tool.
For
same,
5
drugs
were
selected
as
representative
development
workflow
subjected
stress
study
per
ICH
regulatory
requirements.
There
in
total
55
products,
all
possible
Zeneth®
software.
The
number
labile
hydrogens
each
obtained
method.
While
scrutinizing
with
hydrogens,
many
false
positive
predictions
could
be
ruled
out.
Out
approach
has
helped
predictability
45
corresponding
∼82%
cases.
It
adopt
industry
by
simply
amalgamating
practices
AI
prediction.GRAPHICAL
ABSTRACTDisplay
full
sizeKeywords:
Degradation
impurity
predictionLiquid
Chromatography
mass
spectrometryStress
degradationHydrogen-deuterium
exchange
Язык: Английский
Nitrosamine contamination of pharmaceuticals: Cases in Japan, formation mechanisms, detection methods, regulatory perspectives, and insights
Journal of Pharmaceutical and Biomedical Analysis Open,
Год журнала:
2024,
Номер
4, С. 100034 - 100034
Опубликована: Июль 27, 2024
In
recent
years,
mutagenic
nitrosamines,
such
as
N-nitrosodimethylamine,
have
been
detected
in
medicine.
This
has
led
to
global
product
recalls
and
long-term
supply
suspensions
by
pharmaceutical
companies
consequent
clinical
impacts.
Measures
control
nitrosamines
medicine,
including
detection
methods
clarification
of
contamination
routes,
are
being
implemented
worldwide.
this
review,
we
focus
on
case
reports
nitrosamine
drug
products
Japan,
formation
mechanisms
during
manufacturing
storage,
well
methods.
We
also
discuss
the
acceptable
intake
(ng/day)
chemically
synthesized
substances
human
drugs
(including
products)
US,
EU,
Japan.
Overall,
medicines
is
expected
remain
a
public
health
issue.
Therefore,
using
new
technologies
detailed
analysis
necessary.
However,
excessive
regulation
may
cause
essential
shortages
owing
recall;
therefore,
realistic
prudent
response
based
regulatory
science
needed.
Язык: Английский