• 약학회지
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• 제46권4호
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• pp.219-225
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• 2002

We have performed a 3D-QSAR/CoMFA analysis of the cytotoxic activities of thirty-five 3-arylisoquinoline derivatives against SK-OV-3 tumor cell line. The results suggested that the electrostatic, steric and hydrophobic factors of 3-arylisoquinolines were strongly correlated with the antitumor activity. Considerable predictive ability (cross-validated r2 as high as 0.841) was obtained through CoMFA.

• Applied Biological Chemistry
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• 제48권3호
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• pp.252-257
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• 2005

새로운 2-(4-(6-chloro-2-benzoxazolyloxy)phenoxy)-N-phenylpropionamide 유도체들의 구조 변화에 따른 발아 전, 논피(Echinochloa crus-galli)에 대한 제초활성과의 3D-QSAR 관계를 상이한 정렬방법에 따라 비교 분자장 분석(CoMFA)과 비교분자 유사성 지수분석(CoMSIA) 방법으로 연구하였다. 가장 양호한 3D-QSAR 모델은 atom based fit 정렬과 CoMFA장과 CoMSIA장의 조합 조건에서 유도된 CoMFA 모델(AI-2)과 CoMSIA 모델(AII-4)이었다. CoMFA 및 CoMSIA 등고도로부터 제초활성은 N-phenyl 고리 상 치환기의 구조변화로 개선될 수 있었다.

• 통합자연과학논문집
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• 제4권2호
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• pp.91-98
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• 2011

Quantitative structure-activity relationships (QSAR) have been applied for two decades in the development of relationships between physicochemical properties of chemical substances and their biological activities to obtain a reliable statistical model for prediction of the activities of new chemical entities. The fundamental principle underlying the QSAR is that the structural difference is responsible for the variations in biological activities of the compounds. In this work, we developed 3D-QSAR model for a series of 5-Lipoxygenase inhibitors, utilizing comparative molecular field analysis (CoMFA) and Topomer CoMFA methodologies. Our developed models addressed superiority of Topomer CoMFA over CoMFA. The CoMFA model was obtained with $q^2$=0.593, $r^2$=0.939, $Q^2$=0.334 with 6 optimum number of components (ONC). Higher statistical results were obtained with the Topomer CoMFA model ($q^2$=0.819, $r^2$=0.947, ONC=5). Further robustness of developed models was checked with the ANOVA test and it shows F=113 for CoMFA and F=162.4 for Topomer CoMFA model. Contour map analysis indicated that the more requirement of electrostatic parameter for improved potency.

• 농약과학회지
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• 제11권3호
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• pp.138-143
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• 2007

감수성(SBC) 및 저항성(RBC) 잿빛곰팡이병균(Botrytis cinerea)에 대한 N-phenyl-O-phenylthionocarbamate 유도체들의 선택적인 살균활성에 대한 3차원적인 구조와 활성과의 관계(3D-QSAR)를 CoMFA와 CoMSIA 방법으로 검토하였다 그 결과, 통계적으로 CoMFA 모델(M5)보다 CoMSIA 모델(M7)이 양호하였으며 살균활성의 선택성에 미치는 요소는 CoMSIA 모델(M7)의 정전기장에 의존적이었다. 그러므로 CoMSIA 모델(M7)의 등고도로부터 N-phenyl 고리의 meta-위치에 음하전을 띄는 수소결합 주게에 의하여 선택성이 개선될 것으로 예상되었다.

• Bulletin of the Korean Chemical Society
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• 제34권12호
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• pp.3553-3558
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• 2013

The three dimensional-quantitative structure activity relationship (3D-QSAR) studies on chemical features of pyridine-2-amines in the external region of c-Met active site (ER chemical features of pyridine-2-amines) were conducted by docking, comparative molecular field analysis (CoMFA), and topomer CoMFA methods. The CoMFA model obtained the partial least-squares (PLS) statistical results, cross-validated correlation coefficient ($q^2$) of 0.703, non cross-validated correlation coefficient ($r^2$) of 0.947 with standard error of estimate (SEE) of 0.23 and the topomer CoMFA obtained $q^2$ of 0.803, $r^2$ of 0.940, and SEE of 0.24. Further, the test set was applied to validate predictive abilities of models, where the predictive $r^2$ ($r{^2}_{pred}$) for CoMFA and topomer CoMFA models were 0.746 and 0.608, respectively. Each contribution of ER chemical features of pyridine-2-amines to the inhibitory potency showed correlation coefficients, $r^2$ of 0.670 and 0.913 for two core parts, 3-(benzo[d]oxazol-2-yl)pyridine-2-amine and 3-(1-(2,6-dichloro-3-fluorophenyl)ethoxy) pyridine-2-amine, respectively, with corresponding experimental $pIC_{50}$.

• 농약과학회지
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• 제11권2호
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• pp.59-66
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• 2007

감수성(SBC) 및 저항성(RBC) 잿빛곰팡이병균(Botrytis cinerea)에 대한 N-phenyl-O-phenylthionocarbamate 유도체들의 살균활성에 대한 3차원적인 구조와 활성과의 관계(3D-QSAR)를 CoMFA와 CoMSIA 방법으로 검토하였다. 최적화 된 CoMFA 모델의 예측성과 상관성이 CoMSIA 모델보다 양호하였으며 ($r^2$ 및 $q^2=CoMFA{\gg}CoMSIA$) SBC 균주에 대한 살균활성 모델이 RBC에 대한 모델보다 양호한 통계값 ($r^2=SBC{\gg}RBC$)을 나타내었다. 또한, CoMFA 모델에서는 정전기장보다 입체장이 큰 영향을 미쳤다. CoMSIA 모델에서는 RBC 및 SBC에 대한 살균활성에 관한 CoMSIA장의 영향은 서로 상이하였으나 수소결합 주게장의 영향은 같았다. 통계적으로 양호한 CoMFA 모델에 의하여 두 균주사이 살균활성에 관한 선택성 요소는 입체장의 차이에 기인하는 것으로 판단된다. 그러므로 N-phenyl 고리상 meta 및 para-치환체의 큰 입체장은 SBC에 대한 살균활성을 향상시킬 것으로 예측되었다.

• 통합자연과학논문집
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• 제8권3호
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• pp.176-183
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• 2015

Corticotropin-releasing actor receptors (CRFRs) activates the hypothalamic pituitary adrenal axis, one of the 2 parts of the fight or flight response to stress. Increased CRH production has is associated with Alzheimer's disease and major depression and hypoglycemia. In this study, we report the important structural and chemical parameters for CRFR inhibitors using the derivatives of 8-substituted-2-aryl-5-alkylaminoquinolines. A 3D QSAR study, Comparative molecular field analysis (CoMFA) was performed. The best predictions were obtained for the best CoMFA model with a $q^2$ of 0.607 with 6 components and $r^2$ of 0.991. The statistical parameters from the generated CoMFA models indicated that the data are well fitted and have high predictive ability. The contour map resulted from the CoMFA models might be helpful in the future designing of novel and more potent CRFR derivatives.

• 농약과학회지
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• 제10권3호
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• pp.157-164
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• 2006

새로운 N-phenylthionocarbamate 유도체들의 N-phenyl-치환기(X) 변화에 따른 벼잎집무늬마름병균(Rhizoctonia solani) 및 고추역병균(Phytophthora capsici)에 대한 살균활성과의 3D-QSARs 관계를 상이한 정렬에 따른 비교 분자장 분석(CoMFA) 방법으로 연구하였다. 그 결과, field fit 정렬 조건에서 유도된 CoMFA 모델들이 atom based fit 정렬 조건의 모델보다 양호하였다. 따라서 두 균주에 대한 살균활성을 가장 잘 설명하는 CoMFA 모델들은 field fit 정렬과 CoMFA장들의 조합 조건에서 유도된 CoMFA 모델(RS: RF2 및 PC: PF2)들이었다. 두 CoMFA 모델들은 통계적으로 높은 예측성($r^2_{cv.}$=RS: 0.557 및 PC: 0.676)과 상관성($r^2_{ncv.}$=RS: 0.954 및 PC:0.968)을 보였다. 그리고 두 균주에 사이의 선택적인 살균활성은 기질분자의 정전기장에 의존적이었으며 CoMFA 등고도는 두 균주에 대한 살균활성이 기질분자의 치환기(X) 변화로 개전 될 수 있을 것임을 나타내었다.

• Bulletin of the Korean Chemical Society
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• 제31권11호
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• pp.3297-3300
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• 2010

In this study, the 3D-QSARs (three-dimensional quantitative structure-activity relationships: CoMFA and CoMSIA) between structural changes of N-phenyl-O-phenylthionocarbamate analogues (1-30) and their fungicidal activities against the capsicum phytophthora (Phyophthora capsici) fungi were analyzed, then considered quantitatively in terms of minimum structural requirements for fungicidal evaluation. The statistical qualities ($r^2_{cv.}$ = 0.510 and $r^2_{ncv.}$ = 0.948) of the optimal CoMFA 1 model are improved over the other models in the conditions of field combinations, and the two alignments. In the optimal CoMFA 1 model, relative contribution percentages of the CoMFA field were: steric field, 52.3%; electrostatic field, 37.8%; hydrophobic field, 9.9%. Results were similar for the CoMFA 2 model. Therefore, the steric field of the analogues had the highest contribution ratio for fungicidal activity. Specifically, with the contour map of steric fields, the fungicidal activity increased when bulky steric Y-substituents were introduced to the meta-position on the N-phenyl ring and small steric Y-subsituents were introduced to its para-position.

• Bulletin of the Korean Chemical Society
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• 제27권7호
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• pp.1025-1030
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• 2006

A 3D-CoMFA model with pranlukast analogues was constructed, which could be applied to predict the antagonistic activity of aryl benzyl ether analogues against LTD4. Molecular modeling and 3D-CoMFA studies were performed on 78 pranlukast analogues and 14 aryl benzyl ethers to evaluate the antagonistic behavior of aryl benzyl ethers and provide information for further modification of this kind of compounds. The aryl benzyl ether core was found to be in excellent three dimensional match with the central planar moiety of pranlukast analogues, and the pranlukast 3D-CoMFA model could be successfully applied to predict the biological activity of aryl benzyl ether analogues.