12 research outputs found
Apoptotic Cell Membrane-Inspired Polymer for Immunosuppression
Apoptotic
cell death serves important roles in homeostasis by eliminating
dangerous, damaged, or unnecessary cells without causing an inflammatory
response by externalizing phosphatidylserine to the outer leaflet
in the phospholipid bilayer. In this study, we newly designed apoptotic
cell membrane-inspired monomer and polymer which have the phosphoryl
serine group as the anti-inflammatory functional moiety and demonstrate
here for the first time that administration of an apoptotic cell membrane-inspired
phosphorylserine polymer can protect murine macrophages (RAW 264.7)
from lipopolysaccharide-induced inflammation. Interestingly, statistical
copolymers with phosphorylcholine monomer that mimicked more precisely
the apoptotic cell membrane result in more effective suppression of
macrophage activation. This study provides new insights into the rational
design of effective polymeric materials for anti-inflammatory therapies
Highly Fluorescent Slipped-Cofacial Phthalocyanine Dimer as a Shallow Inclusion Complex with α-Cyclodextrin
Supramolecular control of the Ļ-stacked configuration
of
aqueous phthalocyanine (ZnĀ[PcĀ(SO<sub>3</sub>)<sub>4</sub>]) was achieved,
allowing organization of a J-type slipped-cofacial dimer with per-<i>O</i>-methylated α-cyclodextrin (TMe-α-CDx) by the
aid of hostāguest interactions. Pristine ZnĀ[PcĀ(SO<sub>3</sub>)<sub>4</sub>] forms nonfluorescent face-to-face aggregates in water.
The Ļ-stacked configuration was controlled in the slipped-cofacial
dimer, which was formed as a shallow inclusion complex with TMe-α-CDx,
giving remarkably enhanced fluorescence with a very small Stokes shift.
Organization of the J-type slipped-cofacial dimer as a 2:2 ZnĀ[PcĀ(SO<sub>3</sub>)<sub>4</sub>]āTMe-α-CDx complex was achieved
through Ļ-stacking of the unencapsulated segment of ZnĀ[PcĀ(SO<sub>3</sub>)<sub>4</sub>] shallowly encapsulated by a small TMe-α-CDx
cavity
Synthesis and Properties of [7]Helicene-like Compounds Fused with a Fluorene Unit
[7]ĀHelicene-like
compounds with a fluorene unit were successfully
synthesized using a platinum-catalyzed double cyclization reaction.
Crystal structures and photophysical properties of these compounds
were also studied. In particular, they were found to exhibit a high
fluorescence quantum yield and a relatively large <i>g</i> value (dissymmetric factor) of circularly polarized luminescence
(CPL) for small molecules
Time-Resolved Observation of Chiral-Index-Selective Wrapping on Single-Walled Carbon Nanotube with Non-Aromatic Polysilane
In the present paper, we ascertain two novel findings
on chiral-index-selective
binding/separating of single-walled carbon nanotubes (SWNTs) with
a nonaromatic polymer, polyĀ(dialkylsilane) (PSi). PSi is a typical
Ļ-conjugated polymer, composed of alkyl side chains attached
to the silicon (Si)-catenated main chain. First, PSiās with
linear alkyl side chains showed significant diameter-selective wrapping
for SWNTs with ca. 0.9 nm in diameter, resulting in the selective
separation of (7,6) and (9,4) SWNTs. Its driving force was demonstrated
to be cooperative CHāĻ interactions among the alkyl side
chains of PSiās and the curved graphene of SWNTs. Second, the
dynamic wrapping behavior of PSiās onto SWNTs was elucidated
with time-resolved UV spectroscopy. Highly anisotropic UV absorption
of PSi along the Si main chain was utilized as a āchromophoric
indicatorā to monitor the global/local conformations, which
enabled us to track kinetic structural changes of PSiās on
SWNTs. Consequently, we concluded that upon wrapping, flexible/helical
PSi with an average dihedral angle (Ļ) of 145° and Kuhnās
segment length (Ī»<sup>ā1</sup>) of 2.6 nm interconverted
to the more stiffer/planar conformation with 170° and Ī»<sup>ā1</sup> of 7.4 nm. Furthermore, through kinetic analyses
of the time-course UV spectra, we discovered the fact that PSiās
involve three distinct structural changes during wrapping. That is,
(i) the very fast adsorption of several segments within dead time
of mixing (<30 ms), following (ii) the gradual adsorption of loosely
wrapped segments with the half-maximum values (Ļ<sub>1</sub>) of 31.4 ms, and (iii) the slow rearrangement of the entire chains
with Ļ<sub>2</sub> of 123.1 ms, coupling with elongation of
the segment lengths. The present results may be useful for rational
design of polymers toward chiral-index-selective binding/separating
of desired (<i>n</i>,<i>m</i>) SWNTs
Koopmansā Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules
Density functional theory (DFT) is a significant computational
tool that has substantially influenced chemistry, physics, and materials
science. DFT necessitates parametrized approximation for determining
an expected value. Hence, to predict the properties of a given molecule
using DFT, appropriate parameters of the functional should be set
for each molecule. Herein, we optimize the parameters of range-separated
functionals (LC-BLYP and CAM-B3LYP) via Bayesian optimization (BO)
to satisfy Koopmansā theorem. Our results demonstrate the effectiveness
of the BO in optimizing functional parameters. Particularly, Koopmansā
theorem-compliant LC-BLYP (KTLC-BLYP) shows results comparable to
the experimental UV-absorption values. Furthermore, we prepared an
optimized parameter dataset of KTLC-BLYP for over 3000 molecules through
BO for satisfying Koopmansā theorem. We have developed a machine
learning model on this dataset to predict the parameters of the LC-BLYP
functional for a given molecule. The prediction model automatically
predicts the appropriate parameters for a given molecule and calculates
the corresponding values. The approach in this paper would be useful
to develop new functionals and to update the previously developed
functionals
Facile Synthetic Route to Highly Luminescent Sila[7]helicene
A facile synthetic route to dimethylsila[7]helicene by using a Lewis acid catalyzed double-cyclization reaction for construction of the twisted two phenanthrene moieties is described. Sila[7]helicene exhibited a high fluorescence quantum yield and a realatively large <i>g</i> value (dissymmetric factor) of circularly polarized luminencence (CPL) for small molecules
Facile Synthetic Route to Highly Luminescent Sila[7]helicene
A facile synthetic route to dimethylsila[7]helicene by using a Lewis acid catalyzed double-cyclization reaction for construction of the twisted two phenanthrene moieties is described. Sila[7]helicene exhibited a high fluorescence quantum yield and a realatively large <i>g</i> value (dissymmetric factor) of circularly polarized luminencence (CPL) for small molecules
Koopmansā Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules
Density functional theory (DFT) is a significant computational
tool that has substantially influenced chemistry, physics, and materials
science. DFT necessitates parametrized approximation for determining
an expected value. Hence, to predict the properties of a given molecule
using DFT, appropriate parameters of the functional should be set
for each molecule. Herein, we optimize the parameters of range-separated
functionals (LC-BLYP and CAM-B3LYP) via Bayesian optimization (BO)
to satisfy Koopmansā theorem. Our results demonstrate the effectiveness
of the BO in optimizing functional parameters. Particularly, Koopmansā
theorem-compliant LC-BLYP (KTLC-BLYP) shows results comparable to
the experimental UV-absorption values. Furthermore, we prepared an
optimized parameter dataset of KTLC-BLYP for over 3000 molecules through
BO for satisfying Koopmansā theorem. We have developed a machine
learning model on this dataset to predict the parameters of the LC-BLYP
functional for a given molecule. The prediction model automatically
predicts the appropriate parameters for a given molecule and calculates
the corresponding values. The approach in this paper would be useful
to develop new functionals and to update the previously developed
functionals
Confinement of Single Polysilane Chains in Coordination Nanospaces
Understanding
the intrinsic properties of single conducting polymer chains is of
interest, largely for their applications in molecular devices. In
this study, we report the accommodation of single polysilane chains
with hole-transporting ability in porous coordination polymers (PCPs),
[AlĀ(OH)Ā(L)]<sub><i>n</i></sub> (<b>1a</b>; L = 2,6-naphthalenedicarboxylate,
channel size = 8.5 Ć 8.5 Ć
<sup>2</sup>, <b>1b</b>;
L = 4,4ā²-biphenyldicarboxylate, channel size = 11.1 Ć
11.1 Ć
<sup>2</sup>). Interestingly, the isolation of single polysilane
chains increased the values of carrier mobility in comparison with
that in the bulk state due to the elimination of the slow interchain
hole hopping. Moreover, even when the chains are isolated one another,
the main chain conformation of polysilane could be controlled by changing
the pore environment of PCPs, as evidenced by Raman spectroscopy,
solid-state NMR measurements, and molecular dynamics simulation. Hence,
we succeeded in varying the conducting property of single polysilane
chains. Additionally, polysilanes have a drawback, photodegradation
under ultraviolet light, which should be overcome for the application
of polysilanes. It is noteworthy that the accommodation of polysilane
in the nanopores did not exhibit photodegradation. These results highlight
that PCPāpolysilane hybrids are promising candidates for further
use in the field of molecular electronics