• 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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• 제31권5호
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• pp.1361-1367
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• 2010

A series of O,O-dialkyl-1-phenoxyacetoxy-1-methylphosphonate analogues (1~22) as a new class of potent inhibitors of pyruvate dehydrogenase were synthesized and 3D-QSARs (three dimensional qantitative structure-activity relationships) models on the pre-emergency herbicidal activity against the seed of cucumber (Cucumus Sativa L.) were derived and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indeces analysis (CoMSIA) methods. The statistical values of CoMSIA models were better predictability and fitness than those of CoMFA models. The inhibitory activities according to the optimized CoMSIA model I were dependent on the electrostatic field (41.4%), the H-bond acceptor field (26.0%), the hydrophobic field (20.8%) and the steric field (11.7%). And also, it was found that the optimized CoMSIA model I with the sensitivity to the perturbation ($d_q{^{2'}}/dr^2{_{yy'}}$ = 0.830) and the prediction ($q^2$ = 0.503) produced by a progressive scrambling analyses were not dependent on chance correlation. From the results of graphical analyses on the contour maps with the optimized CoMSIA model I, it is expected that the structural distinctions and descriptors that subscribe to herbicidal activities will be able to apply new an herbicide design.

• 농약과학회지
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• 제12권1호
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• pp.9-17
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• 2008

일련의 새로운 cyclohexanone 유도체(5-benzofuryl-2-[1-(alkoxyimino)alkyl]-3-hy-droxycyclohex-2-en-1-ones)와 벼(Oryza sativa L.) 및 돌피(Echinochloa crus-galli)에 대한 제초활성과의 정량적인 구조-활성관계(QSARs)를 2D-QSAR 및 HQSAR 방법으로 검토하였다. 일반적으로 HQSAR 모델이 2D-QSAR 모델보다 예측성과 적합성이 좋았다. 2D-QSAR II 모델로부터 돌피의 제초활성은 분자의 Balaban 지수(BI)와 $R_1$ 및 $R_3$-기의 소수성에 의존적이었다. 또한, HQSAR IV 모델에 따라 $R_3=ethyl$ 기가 벼의 제초활성에 기여하는 반면에 5-(cyclohex-3-enyl)-2,3-dihydrobenzofuran 고리 부분은 두 초종의 제초활성에 기여하지 않았다.

• Bulletin of the Korean Chemical Society
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• 제30권3호
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• pp.613-617
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• 2009

3D-QSARs for the inhibition activities against protox by herbicidal 2-N-phenylisoindolin-1-one derivatives were studied quantitatively using CoMFA and CoMSIA methods. The result of the statistical quality of optimized CoMSIA model 2 ($FF:\;{r^2}_{cv.};\;0.973\;&\;{r^2}_{ncv.};\;0.612$) was higher than that of CoMFA model 1 ($AF:\;{r^2}_{cv.};\;0.414\;&\;{r^2}_{ncv.};\;0.909$). Also, the relative contribution of the optimized CoMSIA model 2 showed the steric (24.6%), electrostatic (31.0%), hydrophobic (ClogP, 23.4%) and H-bond acceptor field (21.0%), respectively. From the results of the contour maps, the protox inhibition activities are expected to increase when steric favor and H-bond acceptor favor groups are substituted on $R_2$ position and positive favor group are substituted on $C_2,\;C_3,\;and\;C_5$ atom in phenyl ring of $R_2$ position. And the inhibition activities are expected to increase when hydrophobic favor group is substituted on $C_1,\;C_3$ atom in phenyl ring of $R_2$ position and $C_1$ atom of $R_2$ position and hydrophilic favor groups are substituted on $C_4$ atom in phenyl ring of $R_1$ position and the terminal group of $R_1$ position.

• 한국환경보건학회지
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• 제45권5호
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• pp.457-464
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• 2019

Objectives: Quantitative structure-activity relationship (QSAR) is one of the effective alternatives to animal testing, but its credibility in terms of toxicity prediction has been questionable. Thus, this work aims to evaluate its predictive capacity and find ways of improving its credibility. Methods: Using $TOPKAT^{(R)}$, OECD toolbox, and $Derek^{(R)}$, all of which have been applied world-wide in the research, industrial, and regulatory fields, an analysis of prediction credibility markers including accuracy (A), sensitivity (S), specificity (SP), false negative (FN), and false positive (FP) was conducted. Results: The multi-application of QSARs elevated the precision credibility relative to individual applications of QSARs. Moreover, we found that the type of chemical structure affects the credibility of markers significantly. Conclusions: The credibility of individual QSAR is insufficient for both the prediction of chemical toxicity and regulation of hazardous chemicals. Thus, to increase the credibility, multi-QSAR application, and compensation of the prediction deviation by chemical structure are required.

• Bulletin of the Korean Chemical Society
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• 제32권4호
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• pp.1241-1248
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• 2011

Three dimensional quantitative structure-activity relationships (3D-QSARs) between new thiosemicarbazone analogues (1-31) as a substrate molecule and their inhibitory activity against tyrosinase as a receptor were performed and discussed quantitatively using CoMFA (comparative molecular field analysis) and CoMSIA (comparative molecular similarity indices analysis) methods. According to the optimized CoMSIA 2 model obtained from the above procedure, inhibitory activities were mainly dependent upon H-bond acceptor favored field (36.5%) of substrate molecules. The optimized CoMSIA 2 model, with the sensitivity of the perturbation and the prediction, produced by a progressive scrambling analysis was not dependent on chance correlation. From molecular docking studies, it is supposed that the inhibitory activation of the substrate molecules against tyrosinase (PDB code: 1WX2) would not take place via uncompetitive inhibition forming a chelate between copper atoms in the active site of tyrosinase and thiosemicarbazone moieties of the substrate molecules, but via competitive inhibition based on H-bonding.

• 한국환경보건학회지
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• 제38권6호
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• pp.550-560
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• 2012

Objectives: QSAR methodology was applied to explain two different sets of acceptable daily intake (ADI) data of 74 pesticides proposed by both the USEPA and WHO in terms of setting guidelines for food and drinking water. Methods: A subset of calculated descriptors was selected from Dragon$^{(R)}$ software. QSARs were then developed utilizing a statistical technique, genetic algorithm-multiple linear regression (GA-MLR). The differences in each specific model in the prediction of the ADI of the pesticides were discussed. Results: The stepwise multiple linear regression analysis resulted in a statistically significant QSAR model with five descriptors. Resultant QSAR models were robust, showing good utility across multiple classes of pesticide compounds. The applicability domain was also defined. The proposed models were robust and satisfactory. Conclusions: The QSAR model could be a feasible and effective tool for predicting ADI and for the comparison of logADIEPA to logADIWHO. The statistical results agree with the fact that USEPA focuses on more subtle endpoints than does WHO.

• Bulletin of the Korean Chemical Society
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• 제17권2호
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• pp.147-152
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• 1996

To see the quantitative relationship between the structures of the C-7 substituted quinolones and their antibacterial activities, theoretical parameters such as the molecular van der Waals volume, surface area and some electrostatic parameters based on the molecular electrostatic potential, which represent lipophilicity, and some quantum mechanical parameters are introduced as descriptors. The sixteen substituted quinolone derivatives and twenty bacteria are used for the study. It is found that the QSARs of C-7 substituted quinolones are obtained for eleven bacteria and our descriptors are more useful for Gram positive organisms than negative ones. It is also shown that molecular surface area (or molecular Waals volume) of the C-7 substituent and net charge of C-7 atom of the quinolones are the descriptors of utmost importance.

• 농약과학회지
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• 제14권4호
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• pp.319-325
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• 2010

두 점박이 응애(Tetranychus urticae)에 대한 N'-phenyl-N-methylformamidine 유도체(1-22)의 살충활성에 관한 치환기 ($R_1{\sim}R_4$)들의 영향을 이해하기 위하여 3차원적인 정량적 구조-활성관계(3D-QSAR) 모델인 비교분자장분석(CoMFA) 모델 및 비교분자 유사성지수분석(CoMSIA) 모델을 유도하고 정량적으로 검토하였다. 그 결과로부터 CoMFA 1 모델의 예측성 및 상관성($r^2{_{cv.}}=0.575$ 및 $r^2{_{ncv.}}=0.945$)이 가장 양호하였다. 또한, 순자혼합화 분석으로부터 CoMFA 1 및 CoMSIA 1 모델($d_q{^{2'}}/dr^2{_{yy}}=1.071{\sim}1.146$ 및 $q^2=0.545{\sim}0.626$)은 우연상관성에 저촉되지 않는 최적화 모델이었다. 최적화된 CoMFA 1 모델로 부터 두 점박이 응애에 대한 N'-phenyl-N-methylformamidine 유도제들의 저해활성에 관한 기여비율은 입체장 62.5%, 정전기장 28.9% 및 소수성장 8.6% 이었다. 그러므로 CoMFA 1 모델에 의한 살충활성은 입체장에 의존적이었다. 또한, 최적화 모델들의 등고도로부터 살충활성에 기여하는 구조적인 특징들은 새로운 살충제들을 설계하는데 적용할 수 있을 것으로 예상된다.

• Journal of Applied Biological Chemistry
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• 제53권2호
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• pp.99-104
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• 2010

3차원적인 정량적 구조-활성상관(3D-QSAR: 비교분자 유사성지수분석(CoMSIA) 및 비교분자장분석(CoMFA)) 기법에 기초하여 4-Methyl-2H-benzopyran-2-one 유도체들(1-23)의 항산화활성에 관한 benzo 고리상 치환기($R_1-R_4$)들의 영향을 정량적으로 검토하였다. CoMSIA 모델은 CoMFA 모델보다 통계적으로 양호하였으며 최적화된 CoMSIA 2 모델의 예측성($q^2$=0.700)과 상관성($r^2$=0.979)이 가장 양호하였다. 항산화 활성에 관한 CoMSIA 2 모델의 기여비율(%)은 수소결합 주게장(HD) 43.5%, 정전기장(E) 41.8% 및 입체장(S) 14.7%로 정전기장과 H-결합 주게장이 항산화활성에 가장 큰 영향을 미치는 요소이었다. CoMSIA 등고도 분석결과, benzo 고리상에 양하전을 선호하며, 그리고 H-결합주게가 아닌 치환기($R_1-R_4$)들이 항산화활성을 증가시킬 것으로 예상되었다.