The Influence of Homoring Competition Effect of Substituents on the Nonclassical Hydrogen Bonding Properties in Diarylnitroketone
Journal of Physical Organic Chemistry,
Journal Year:
2025,
Volume and Issue:
38(5)
Published: March 24, 2025
ABSTRACT
Nonclassical
hydrogen
bond
(NCHB)
as
a
weak
interaction
force
not
only
plays
an
important
role
in
organic
conversion
and
catalysis
but
also
has
significant
implications
for
understanding
predicting
the
properties
of
compounds.
At
present,
influence
homoring
competition
effect
substituents
on
intramolecular
NCHB
been
studied.
In
this
work,
51
diphenylnitroketone
XArCH=N(O)ArY
(XPNY)
compounds
containing
different
were
chosen
model
molecules,
energy
(
E
HB
)
CH⋯O
aromaticity
quasi‐aromatic
ring
(PDI
Q
computed,
chemical
shifts
δ
H(CH⋯O)
1
H
NMR
collected
or
measured.
This
work
focuses
analyzing
XPNY
explored
shift
value
.
The
results
show
that
(1)
values
are
abnormally
large,
14.15–15.51
kJ/mol,
lower
than
16.74
which
is
consistent
with
characteristics
NCHB.
Therefore,
it
can
be
considered
bonds
XPNY.
(2)
substituent
X
compound
exhibits
effect.
(3)
main
factor
affecting
affects
along
paths.
study
help
impact
effects
depth.
Language: Английский
Substituent position effects on blue light emission of organophosphonium organic compounds for potential OLED applications
Rui‐Xuan Qian,
No information about this author
Meng Cui,
No information about this author
Jian Lü
No information about this author
et al.
Inorganic Chemistry Communications,
Journal Year:
2025,
Volume and Issue:
unknown, P. 114526 - 114526
Published: April 1, 2025
Language: Английский
The synergy of experimental and computational approaches for visualizing glycoprotein dynamics: Exploring order within the apparent disorder of glycan conformational ensembles
Current Opinion in Structural Biology,
Journal Year:
2025,
Volume and Issue:
92, P. 103049 - 103049
Published: April 29, 2025
Understanding
the
dynamic
behavior
of
glycoproteins
is
crucial
for
deciphering
their
biological
roles.
This
review
explores
synergistic
use
experimental
and
computational
methods
to
address
this
complex
challenge.
Glycans,
with
inherent
flexibility
structural
diversity,
pose
significant
obstacles
traditional
analysis.
Innovative
techniques
offer
valuable
snapshots
glycan
conformations,
but
often
lack
context
a
physiological
environment.
Computational
simulations
provide
atomic-level
detail
explore
full
range
motions,
require
extensive
resources
validation.
Integrating
these
approaches,
by
using
data
refine
validate
models,
essential
accurately
capturing
interplay
between
glycans
proteins.
combined
strategy
promises
unlock
deeper
understanding
glycoprotein
function
inform
design
novel
therapeutics.
Language: Английский