Computational insight in the identification of nonsynonymous single nucleotide polymorphism affecting the structure and function of Interleukin-4
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 25, 2024
Background
IL4
is
a
versatile
cytokine
essentially
known
for
differentiation,
proliferation,
and
cell
death
in
cells.
Its
dysregulation
has
been
found
to
be
associated
with
the
development
of
inflammatory
disorders.
Objective
The
goal
current
investigation
identify
select
non-synonymous
single
nucleotide
polymorphisms
(nsSNPs)
IL-4
gene
by
employing
computational
methods
which
may
have
potential
functional
impact
on
occurrence
disease.
Method
&
Result
Six
different
nsSNPs
were
predicted
deleterious
based
consensus
algorithms:
SIFT,
Polyphen2
(Humdiv
HumVar),
PredictSNP,
SNP&GO.I-mutant
MuPro
assessment
revealed
decrease
stability
these
mutants
except
K150M.
Modelling
was
then
carried
out
build
wild-type
along
its
mutants,
followed
superimposition
evaluate
RMSD
value,
lies
between
0.26-0.34.
Simulation
results
mutant
models,
wild-type,
showed
that
four
(N113Y,
A118G,
R109W,
K150M)
deviated
most
unstable.
A118G
significant
deviation
from
while
V53A
C123R
stable.
Conclusion
finding
establishes
evidence
identified
six
can
new
entrant
presenting
their
candidature
genetic
testing.
Language: Английский
Computational Insight in the Identification of Non‐Synonymous Single‐Nucleotide Polymorphism Affecting the Structure and Function of Interleukin‐4
PROTEOMICS - CLINICAL APPLICATIONS,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 8, 2024
ABSTRACT
Background
IL4
is
a
versatile
cytokine
essentially
known
for
differentiation,
proliferation
and
cell
death
in
cells.
Its
dysregulation
has
been
found
to
be
associated
with
the
development
of
inflammatory
disorders.
Objective
The
goal
current
investigation
identify
select
non‐synonymous
single‐nucleotide
polymorphisms
(nsSNPs)
IL‐4
gene
by
employing
computational
methods
which
may
have
potential
functional
impact
on
occurrence
disease.
Method
Result
Six
different
nsSNPs
were
predicted
deleterious
based
consensus
algorithms:
SIFT,
Polyphen2
(Humdiv
HumVar),
PredictSNP
SNP&GO.
I‐mutant
MuPro
assessment
revealed
decrease
stability
these
mutants
except
K150M.
Modelling
was
then
carried
out
build
wild
type
along
its
mutants,
followed
superimposition
evaluate
RMSD
value,
lies
between
0.26
0.34.
Simulation
results
mutant
models,
type,
showed
that
four
(N113Y,
A118G,
R109W
K150M)
deviated
most
unstable.
A118G
significant
deviation
from
while
V53A
C123R
stable.
Conclusion
finding
establishes
evidence
identified
six
can
new
entrant
presenting
their
candidature
genetic
testing.
Language: Английский