• 제목/요약/키워드: prediction of higher activity compounds

검색결과 4건 처리시간 0.017초

새로운 2-(4-(6-chloro-2-benzoxazolyloxy)phenoxy)-N-phenyl-propionamide 유도체들의 제초활성에 관한 HQSAR 모델과 높은 활성 화합물의 예측 (Molecular Holographic QSAR Model on the Herbicidal Activities of New Novel 2-(4-(6-chloro-2-benzoxazolyloxy)phenoxy)-N-phenylpropionamide Derivatives and Prediction of Higher Activity Compounds)

  • 성낙도;김대황;정훈성
    • 농약과학회지
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    • 제9권4호
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    • pp.279-286
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    • 2005
  • 일련의 새로운 기질 분자로서 2-(4-(6-chloro-2-benzoxazolyloxy)phenoxy)-N-phenylpropionamide 유도체들의 구조 변화와 그에 따른 발아 전, 논피 (Echinochloa crus-galli)에 대한 제초활성과의 분자 홀로그래피적(H) QSAR 관계를 연구하였다. 그 결과로부터 높은 제초활성 화합물들이 유도된 HQSAR 모델에 의하여 예측되었다. 가장 양호한 HQSAR 모델은 분자조각 크기($7{\sim}10bin$) 조건에서 유도된 모델(VI-1)이었다. 제초활성에 관한 HQSAR 모델(VI-1)은 높은 예측성($r^2_{cv.}$ 또는 $q^2=0.646$)과 상관성($r^2_{ncv.}=0.917$)에 근거하여 양호한 통계값들을 나타내었다. 그리고 HQSAR 기여도로부터 가장 낮은 제초활성은 4-(6-chloro-2-benzoxazolyloxy)phenoxy 고리($pred.pI_{50}=-3.20$)에 의존적이었다. 특히, (X)-phenoxy-N-(R)-phenylpropionamide 유도체의 R=4-fluoro, X=isobutoxy 치환체인 4-isobutoxyphenoxy-N-(4-fluorophenyl)propionamide (P2)는 가장 높은 제초활성($pred.pI_{50}=9.12$)을 나타내는 화합물로 예측되었다.

Synthesis and Ligand Based 3D-QSAR of 2,3-Bis-benzylidenesuccinaldehyde Derivatives as New Class Potent FPTase Inhibitor, and Prediction of Active Molecules

  • Soung, Min-Gyu;Kim, Jong-Han;Kwon, Byoung-Mog;Sung, Nack-Do
    • Bulletin of the Korean Chemical Society
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    • 제31권5호
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    • pp.1355-1360
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    • 2010
  • In order to search new inhibitors against farnesyl protein transferase (FPTase), a series of 2,3-bis-benzylidenesuccinaldehyde derivatives (1-29) were synthesized and their inhibition activities ($pI_{50}$) against FPTase were measured. From based on the reported results that the inhibitory activities of dimers 2,3-bis-benzylidenesuccinaldehydes were higher than those of monomers cinnamaldehydes, 3D-QSARs on FPTase inhibitory activities of the dimers (1-29) were studied quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. The statistical qualities of the optimized CoMFA model II ($r^2{_{cv.}}$= 0.693 and $r^2{_{ncv.}}$= 0.974) was higher than those of the CoMSIA model II ($r^2{_{cv.}}$ = 0.484 and $r^2{_{ncv.}}$ = 0.928). The dependence of CoMFA models on chance correlations was evaluated with progressive scrambling analyses. And the inhibitory activity exhibited a strong correlation with steric factors of the substrate molecules. Therefore, from the results of graphical analyses on the contour maps and of predicted higher inhibitory active compounds, it is suggested that the structural distinctions and descriptors that contribute to inhibitory activities ($pI_{50}$) against FPTase will be able to applied new inhibitor design.

고추역병균(Phytophthora capsici)에 대한 N-Phenylbenzenesulfonamide 유도체들의 살균활성에 관한 3D-QSAR 분석과 고활성 화합물의 예측 (3D-QSAR Analysis on the Fungicidal Activity with N-Phenylbenzenesulfonamide Analogues against Phytophthora blight (Phytophthora capsici) and Prediction of Higher Active Compounds)

  • 성민규;강규영;조윤기;성낙도
    • Applied Biological Chemistry
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    • 제50권3호
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    • pp.192-197
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    • 2007
  • 고추역병균(Phytophthora capsici)에 대한 N-phenylbenzenesulfonamide 및 N-phenyl-2-thienylsulfonamide 유도체(1-37)들의 살균활성에 관한 3차원적인 정량적 구조와 활성과의 관계(3DQSARs)들을 비교 분자장 분석(CoMFA)과 비교분자 유사성 지수분석(CoMSIA) 방법으로 각각 검토하였다. CoMFA(2) 모델($r^2_{cv.}(q^2)$ = 0.692 및 $r^2_{ncv.}$= 0.965)이 CoMSIA(2) 모델($r^2_{cv.}(q^2)$ =0.796 및 $r^2_{ncv.}$= 0.958)보다 상관성과 예측성이 양호하였다. 최적의 CoMFA(2) 모델에 따른 살균활성은 분자의 입체장과 정전기장에 의존적이었다. 또한, CoMFA(2) 모델의 등고도 분석 결과로부터 살균활성의 63%가 입체적으로 큰 S-phenyl 고리의 meta-치환기($R_1$) 그리고 나머지 살균활성의 32.9%가 양하전을 띄는 N-phenyl 고리의 $R_4$-치환기와 S-phenyl 고리의 para-치환기($R_1$)에 기인하는것으로 예측되었으며 이 같은 사실에 기초하여 일련의 고활성 화합물, $R_1$ = 3-decyl 치환체 ($pred.pI_50$ = 5.88) 등이 예측되었다.

CoMFA vs. Topomer CoMFA, which One is better a Case Study with 5-Lipoxygenase Inhibitors

  • Gadhe, Changdev G.
    • 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.