• Bulletin of the Korean Chemical Society
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• 제26권4호
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• pp.641-644
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• 2005

Nucleophilic addition reactions of benzylamines $(XC_6H_4CH_2NH_2)\;to\;{\beta}$-cyanostilbenes ($YC_6H_4CH=C(CN)C_6H_4$Y’) have been studied in acetonitrile at 30.0 oC. A greater degree of N-$C_{\alpha}$ bond formation (larger ${\beta}_X$) is obtained with a stronger electron-withdrawing substituent in either ${\alpha}-\;(\delta\sigma_Y\;{\gt}\;0)\;or\;{\beta}-ring\;(\delta\sigma_{Y'}\;{\gt}$ 0). A stronger charge development is observed in the TS on $C_{\beta}\;(\rho_{Y'}$= 1.06 for X=Y=H) rather than on $C_{\alpha}\;(\rho_{Y}$ = 0.62 for X=Y’H) indicating the lag in the resonance development into the activating group (CN) on $C_{\beta}$ in the transition state. Similarly, the magnitude of $\rho$$_{XY'}$(−0.72) is greater than $\rho_{XY}$ (−0.66) due to a stronger interaction of the nucleophile with $\beta$-ring than $\alpha$-ring. The positive sign of $\rho_{YY'}$correctly reflects $\pi$ bond cleavage between the two rings in the TS. Relatively large kinetic isotope effects ($k_H/k_D\;{\geq}$ 2.0) involving deuterated nucleophiles ($XC_6H_4CH_2ND_2$) suggest a four-membered cyclic TS in which concurrent N-C$_{\alpha}$ and H(D)-C$_{\beta}$ bond formation occurs.

• 대한화학회지
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• 제18권4호
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• pp.223-238
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• 1974

염화포름산 알킬의 할로겐화 이온 교환반응을 반응속도론적으로 연구하고, 이의 전자 구조적 특성을 CNDO/2 MO계산으로 연구하였으며 이로부터 구조와 반응성 간의 관계를 논의하였다. 염화포름산 알킬의 에너지면에서의 가장 안정한 입체배치가 알킬기와 염소원자 사이가 서로 트랜스인 입체배치임을 알았으며, 결합주위의 회전장애가 {\pi}-전자 비편재화에 기인됨을 밝혔다. 염화포름산 알킬은 하전분리가 심한 극성물질이며, 이것이 카르보닐 산소와 알콕시 산소의 효과 및 염소의 효과에 기인됨을 밝혔다. 반응속도에 미치는 용매효과는 $(CH_3)_2CO>CH_3CN{\gg}MeOH$순으로 반응성이 감소되는 작용을 나타냈으며, 친핵성도는 양성자성 용매중에서 $I^->Br^->Cl^-$, 비양자성 용매 중에서 $Cl^->Br^->I^-$이었으며 알킬기의 기여는 $CH_3->C_2H_5->i-C_3H_7-$순이었다. 초기상태와 천이상태의 안정화 기여를 기초로 용매효과를 해석하였으며 초기상태 탈용매화의 특성으로 친핵성도를 논의하였다. 이 반응에 대하여 가장 유리한 메카니즘을 첨가-제거 메카니즘으로 제안하였다. 염화포름산 알킬의 반응성을 결정하는 구조적 요인은 하전, C-Cl 결합에 대하여 ${\alpha}^{\ast}$인 LUMO의 에너지준위 및 이 MO에서 C-Cl결합의 반결합세기임을 밝혔다.

• Bulletin of the Korean Chemical Society
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• 제35권12호
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• pp.3590-3594
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• 2014

Blue phosphorescent $(dfpypy)_2Ir(mppy)$, where dfpypy = 2',6'-difluoro-2,3'-bipyridine and mppy = 5-methyl-2-phenylpyridine, has been synthesized by newly developed effective method and its solid state structure and photoluminescent properties are investigated. The glass-transition and decomposition temperature of the compound appear at $160^{\circ}C$ and $360^{\circ}C$, respectively. In a crystal packing structure, there are two kinds of intermolecular interactions such as hydrogen bonding ($C-H{\cdots}F$) and edge-to-face $C-H{\cdots}{\pi}(py)$ interaction. This compound emits bright blue phosphorescence with ${\lambda}_{max}=472nm$ and quantum efficiencies of 0.23 and 0.32 in fluid and the solid state. The emission band of the compound is red-shifted by 40 nm relative to homoleptic congener, $Ir(dfpypy)_3$. The ancillary ligand in $(dfpypy)_2Ir(mppy)$ has been found to significantly destabilize HOMO energy, compared to $Ir(dfpypy)_3$, $(dfpypy)_2Ir(acac)$ and $(dfpypy)_2Ir(dpm)$, without significantly changing LUMO energy.

• 대한한의학회지
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• 제44권2호
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• pp.106-118
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• 2023

Objectives: Network pharmacology is a method of constructing and analyzing a drug-compound-target network to predict potential efficacy and mechanisms related to drug targets. In that large-scale analysis can be performed in a short time, it is considered a suitable tool to explore the function and role of herbal medicine. Thus, we investigated the potential functions and pathways of Chongmyunggongjin-dan (CMGJD) on Alzheimer's disease (AD) via network pharmacology analysis. Methods: Using public databases and PubChem database, compounds of CMGJD and their target genes were collected. The putative target genes of CMGJD and known target genes of AD were compared and found the correlation. Then, the network was constructed using Cytoscape 3.9.1. and functional enrichment analysis was conducted based on the Gene Ontology (GO) Biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways to predict the mechanisms. Results: The result showed that total 104 compounds and 1157 related genes were gathered from CMGJD. The network consisted of 1157nodes and 10034 edges. 859 genes were interacted with AD gene set, suggesting that the effects of CMGJD are closely related to AD. Target genes of CMGJD are considerably associated with various pathways including 'Positive regulation of chemokine production', 'Cellular response to toxic substance', 'Arachidonic acid metabolic process', 'PI3K-Akt signaling pathway', 'Metabolic pathways', 'IL-17 signaling pathway' and 'Neuroactive ligand-receptor interaction'. Conclusion: Through a network pharmacological method, CMGJD was predicted to have high relevance with AD by regulating inflammation. This study could be used as a basis for effects of CMGJD on AD.