ChemInform Abstract: Structurally-Modified Subphthalocyanines: Molecular Design Towards Realization of Expected Properties from the Electronic Structure and Structural Features of Subphthalocyanine

ChemInform ◽  
2014 ◽  
Vol 45 (32) ◽  
pp. no-no
Author(s):  
Soji Shimizu ◽  
Nagao Kobayashi
2014 ◽  
Vol 50 (53) ◽  
pp. 6949-6966 ◽  
Author(s):  
Soji Shimizu ◽  
Nagao Kobayashi

This feature article summarizes recent contributions of the authors in the synthesis of structurally-modified subphthalocyanines, which covers (1) modification of the conjugated system, (2) core-modification, and (3) exterior-modification.


Computation ◽  
2013 ◽  
Vol 1 (1) ◽  
pp. 16-26 ◽  
Author(s):  
Csaba Szakacs ◽  
Erika Merschrod S. ◽  
Kristin Poduska

2020 ◽  
Author(s):  
Matthew Montemore ◽  
Chukwudi F. Nwaokorie ◽  
Gbolade O. Kayode

Intensive research in catalysis has resulted in design parameters for many important catalytic reactions; however, designing new catalysts remains difficult, partly due to the time and expense needed to screen a large number of potential catalytic surfaces. Here, we create a general, efficient model that can be used to screen surface alloys for many reactions without any quantum-based calculations. This model allows the prediction of the adsorption energies of a variety of species (explicitly shown for C, N, O, OH, H, S, K, F) on metal alloy surfaces that include combinations of nearly all of the d-block metals. We find that a few simple structural features, chosen using data-driven techniques and physical understanding, can be used to predict electronic structure properties. These electronic structure properties are then used to predict adsorption energies, which are in turn used to predict catalytic performance. This framework is interpretable and gives insight into how underlying structural features affect adsorption and catalytic performance. We apply the model to screen more than 10<sup>7</sup> unique surface sites on approximately 10<sup>6</sup> unique surfaces for 7 important reactions. We identify novel surfaces with high predicted catalytic performance, and demonstrate challenges and opportunities in catalyst development using surface alloys. This work shows the utility of a general, reusable model that can be applied in new contexts without requiring new data to be generated.<br>


1984 ◽  
Vol 39 (3) ◽  
pp. 267-275 ◽  
Author(s):  
Mirjana Eckert-Maksić

AbstractThe molecular and electronic structure of 4H-pyran-4-one and its mono- and disubstituted sulfur analogues (1-4) are studied by the MNDO method. The salient structural features are qualitatively reproduced and the trend of changes of geometric parameters is in good agreement with experiment. The charge distributions exhibit strong polarization due to the large π-electron drift toward the exo-heteroatom. The protonated conjugated acids are considered too. It is found that exo-heteroatom protonation is favoured by 60-80 kcal/mol over the attachment of the proton to the intraring heteroatom. This is in accordance with experimental evidence. It is rationalized by the higher electron density centered on the exo-heteroatom and the appreciable increase in aromatic cyclic conjugation taking place upon the exo-protonation.


2010 ◽  
Vol 54 (8) ◽  
pp. 3460-3470 ◽  
Author(s):  
Yasushi Tojo ◽  
Yasuhiro Koh ◽  
Masayuki Amano ◽  
Manabu Aoki ◽  
Debananda Das ◽  
...  

ABSTRACT Natural products with macrocyclic structural features often display intriguing biological properties. Molecular design incorporating macrocycles may lead to molecules with unique protein-ligand interactions. We generated novel human immunodeficiency virus type 1 (HIV-1) protease inhibitors (PIs) containing a macrocycle and bis-tetrahydrofuranylurethane. Four such compounds exerted potent activity against HIV-1LAI and had 50% effective concentrations (EC50s) of as low as 0.002 μM with minimal cytotoxicity. GRL-216 and GRL-286 blocked the replication of HIV-1NL4-3 variants selected by up to 5 μM saquinavir, ritonavir, nelfinavir, lopinavir, or atazanavir; they had EC50s of 0.020 to 0.046 μM and potent activities against six multi-PI-resistant clinical HIV-1 (HIVmPIr ) variants with EC50s of 0.027 to 0.089 μM. GRL-216 and -286 also blocked HIV-1 protease dimerization as efficiently as darunavir. When HIV-1NL4-3 was selected by GRL-216, it replicated progressively more poorly and failed to replicate in the presence of >0.26 μM GRL-216, suggesting that the emergence of GRL-216-resistant HIV-1 variants is substantially delayed. At passage 50 with GRL-216 (the HIV isolate selected with GRL-216 at up to 0.16 μM [HIV216-0.16 μM]), HIV-1NL4-3 containing the L10I, L24I, M46L, V82I, and I84V mutations remained relatively sensitive to PIs, including darunavir, with the EC50s being 3- to 8-fold-greater than the EC50 of each drug for HIV-1NL4-3. Interestingly, HIV216-0.16 μM had 10-fold increased sensitivity to tipranavir. Analysis of the protein-ligand X-ray structures of GRL-216 revealed that the macrocycle occupied a greater volume of the binding cavity of protease and formed greater van der Waals interactions with V82 and I84 than darunavir. The present data warrant the further development of GRL-216 as a potential antiviral agent for treating individuals harboring wild-type and/or HIVmPIr .


1992 ◽  
Vol 1 (4) ◽  
Author(s):  
Keizo Nakajima ◽  
Kazuyoshi Tanaka ◽  
Tokio Yamabe

2021 ◽  
Vol 57 (13) ◽  
pp. 1615-1618
Author(s):  
Romain Perochon ◽  
Frédéric Barrière ◽  
Olivier Jeannin ◽  
Lidia Piekara-Sady ◽  
Marc Fourmigué

Asymmetry in the electronic structure of a mixed-ligand gold bis(dithiolene) complex explains its peculiar optical, electrochemical and structural features.


2020 ◽  
Author(s):  
Matthew Montemore ◽  
Chukwudi F. Nwaokorie ◽  
Gbolade O. Kayode

Intensive research in catalysis has resulted in design parameters for many important catalytic reactions; however, designing new catalysts remains difficult, partly due to the time and expense needed to screen a large number of potential catalytic surfaces. Here, we create a general, efficient model that can be used to screen surface alloys for many reactions without any quantum-based calculations. This model allows the prediction of the adsorption energies of a variety of species (explicitly shown for C, N, O, OH, H, S, K, F) on metal alloy surfaces that include combinations of nearly all of the d-block metals. We find that a few simple structural features, chosen using data-driven techniques and physical understanding, can be used to predict electronic structure properties. These electronic structure properties are then used to predict adsorption energies, which are in turn used to predict catalytic performance. This framework is interpretable and gives insight into how underlying structural features affect adsorption and catalytic performance. We apply the model to screen more than 10<sup>7</sup> unique surface sites on approximately 10<sup>6</sup> unique surfaces for 7 important reactions. We identify novel surfaces with high predicted catalytic performance, and demonstrate challenges and opportunities in catalyst development using surface alloys. This work shows the utility of a general, reusable model that can be applied in new contexts without requiring new data to be generated.<br>


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