Sipavibart: when a success changes into a failure
The Lancet Infectious Diseases,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Development of antiviral drugs for COVID-19 in 2025: unmet needs and future challenges
Expert Review of Anti-infective Therapy,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 25, 2025
The
success
in
the
COVID-19
pandemic
containment
largely
originated
from
vaccine-
and
infection-elicited
immunity,
with
SARS-CoV-2
infection
only
marginally
mitigated
by
availability
of
antiviral
drugs.
current
lack
effective
prophylactic
therapeutic
agents
immunocompromised
patients
highlights
need
for
a
radical
change
design
both
drug
manufacturing
clinical
trials.
In
this
review
authors
summarize
their
suggestions
manufacturers,
reviewing
classes
small
molecule
antivirals
passive
immunotherapies
highlighting
limitations
unexploited
potential.
Molecular
serological
testing
can
improve
appropriateness.
Efficacy
be
improved
combining
different
while
preserving
economical
sustainability.
Respiratory
delivery
should
better
investigated
Язык: Английский
Limited Biomarker Potential for IgG Autoantibodies Reactive to Linear Epitopes in Systemic Lupus Erythematosus or Spondyloarthropathy
Antibodies,
Год журнала:
2024,
Номер
13(4), С. 87 - 87
Опубликована: Окт. 12, 2024
Autoantibodies
are
commonly
used
as
biomarkers
in
autoimmune
diseases,
but
there
limitations.
For
example,
autoantibody
have
poor
sensitivity
or
specificity
systemic
lupus
erythematosus
and
do
not
exist
the
spondyloarthropathies,
impairing
diagnosis
treatment.
While
autoantibodies
suitable
for
strong
may
these
conditions,
another
possibility
is
that
technology
has
limited
their
discovery.
The
purpose
of
this
study
was
to
use
a
novel
high-density
peptide
array
enables
evaluation
IgG
binding
every
possible
linear
antigen
entire
human
peptidome,
well
machine
learning
approach
incorporates
ELISA
validation
predictability
order
discover
could
be
developed
into
sensitive
specific
markers
spondyloarthropathy.
Язык: Английский
EVOLVE: A Web Platform for Evolutionary Phase Analysis and New Variant Exploration from Multi-Sequence Data
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 26, 2024
Abstract
Recurrent
updates
from
the
World
Health
Organization
(WHO)
on
refining
definitions
for
Variants
of
Concern
(VOCs),
Interest
(VOIs),
and
Under
Monitoring
(VUMs)
underscore
need
systematic
investigations
to
develop
quantifiable
metrics
that
differentiate
critical
phases
variant
evolution.
This
study
illustrates
how
protein
data
can
be
systematically
analyzed
by
applying
phase
transition
principles
statistical
mechanics,
where
quantifying
mutational
response
function
(MRF)
helps
identify
concerning
variants
along
evolutionary
paths.
To
support
exploration
like
entropy,
MRF,
other
relevant
indicators
novel
or
uncharacterized
viruses
pathogenic
bacteria,
we
introduce
EVOLVE—a
web
platform
empowers
researchers
across
diverse
fields
access
sequence-based
analyses.
EVOLVE
streamlines
upload
analysis
with
a
user-friendly
interface
comprehensive
tutorials.
Overcoming
challenges
large
sequence-space
its
AI-driven
data-learning
module
integrates
dynamics
microscopic
information,
enabling
prediction
future
site-specific
mutations
in
prospective
missense
variants.
Access
free
at
https://www.evolve-0fm3.onrender.com
.
Язык: Английский
ConvMut: A Web tool to analyze viral convergent mutations along phylogenies
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 16, 2024
Abstract
Convergent
evolution
in
protein
antigens
is
common
across
pathogens
and
has
also
been
documented
SARS-CoV-2;
the
most
likely
reason
need
to
evade
selective
pressure
exerted
by
previous
infection-
or
vaccine-elicited
immunity.
There
a
pressing
for
tools
that
allow
automated
analysis
of
convergent
mutations.
In
response
this
need,
we
developed
ConvMut,
tool
identifying
patterns
recurrent
mutations
SARS-CoV-2
evolution.
To
end,
exploited
granular
phylogenetic
tree
representation
PANGO,
allowing
us
observe
what
call
deltas,
i.e.,
groups
are
acquired
on
top
immediately
upstream
nodes.
Deltas
comprise
both
amino
acid
substitutions
deletions.
ConvMut
can
perform
individual
identify
single
independently
given
subtree
(starting
from
user-selected
root).
Such
represented
barplot
be
sorted
frequency
position
filtered
region
interest.
Lineages
then
gathered
into
clusters
according
their
sets
shared
Finally,
an
interactive
graph
orders
clusters,
details
changes
each
sublineage,
allows
evolutive
path
until
selected
lineage.
Other
unique
paired
with
main
functionality
support
complete
analysis,
such
as
nucleotide
at
residue
subtree.
We
expect
will
facilitate
design
antiviral
anti-Spike
monoclonal
antibodies
Spike-based
vaccines
longer-lasting
efficacy,
minimizing
development
marketing
failures.
Язык: Английский