• Title/Summary/Keyword: 3D-QSARs

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

  • Soung, Min-Gyu;Kang, Kyu-Young;Cho, Yun-Gi;Sung, Nack-Do
    • Applied Biological Chemistry
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    • v.50 no.3
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    • pp.192-197
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    • 2007
  • 3D-QSARs on the fungicidal activity of N-phenylbenzenesulfonamide and N-phenyl-2-thienylsulfonamide analogues (1-37) against Phytophthora blight (Phytophthora capsici) were studied quantitatively using CoMFA and CoMSIA methods. The statistical results of the optimized CoMFA (2) model ($r^2_{cv.}(q^2)$ = 0.692 & $r^2_{ncv.}$= 0.965) show better predictability and fitness than CoMSIA (2) model ($r^2_{cv.}(q^2)$ = 0.796 & $r^2_{ncv.}$= 0.958). The fungicidal activities according to the information of the optimized CoMFA (2) model were dependent upon the steric and electrostatic fields of the molecules. Therefore, from the contribution contour maps of CoMFA (2) model, it is expected that 63% contribution was caused by the steric bulk of meta-substituent ($R_1$) on the S-phenyl ring. Also, the other contribution level of 32.9% was represented by the positive charged $R_4-group$ ($R_1$) on the N-phenyl ring and para-substituent ($R_1$) on the S-phenyl ring. A series of higher active compounds, $R_1$= 3-decyl substituent ($pred.pI_50$= 5.88) etc. were predicted based on the findings.

3D-QSAR Analysis on the Fungicidal Activity of N-phenyl-O-phenylthionocarbamate Analogues against Gray Mold (Botrytis cinerea) (잿빛곰팡이병균(Botrytis cinerea)에 대한 N-Phenyl-O-phenyl-thionocarbamate 유도체들의 살균활성에 관한 3D-QSAR 분석)

  • Sung, Nack-Do;Park, Kee-Han;Jang, Seok-Chan;Soung, Min-Kyu
    • The Korean Journal of Pesticide Science
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    • v.11 no.2
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    • pp.59-66
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    • 2007
  • Three dimensional quantitative structure-activity relationships (3D-QSARs) on the fungicidal activity of N-phenyl-O-phenylthionocarbamate analogues against resistant and sensitive gray mold (Botrytis cinerea) (RBC & SBC) were studied quantitatively using CoMFA and CoMSIA methods. The correlation coefficient and predict- ability of optimized CoMFA model with the atom based fit alignment were better ($r^2$ & $q^2=CoMFA{\gg}CoMSIA$) than that of CoMSIA model. And statistical values of the models on the fungicidal activity against SBC were showed higher ($r^2=SBC{\gg}RBC$) than that of RBC. In CoMFA models, steric field on the activity was more influenced than electrostatic field. And in case of CoMSIA models, the influence of CoMSIA field on the activity against RBC and SBC was differ from each other but the influence of H-bond donor field was same to the two fungi. It is revealed that the selectivity factor with CoMFA model on the fungicidal activity between the two fungi was caused on the difference of steric field. Therefore, it is predicted that the large steric field with meta- and para-substituents on the N-phenyl ring will be improved to the fungicidal activity with SBC.

Comparative Molecular Similarity Indices Analyses (CoMSIA) on the Herbiridal Activities of New 5-benzofuryl-2-[1-(alkoxy-imino)alkyl]-3-hydroxycyclo-hex-2-en-1-one Derivatives (새로운 5-benzofuryl-2-[1-(alkoxyimino)alkyl]-3-hydroxycyclo-hex-2-en-1-one 유도체들의 제초활성에 관한 비교분자 유사성지수 분석)

  • Sung, Nack-Do;Jung, Ki-Sung;Jung, Hoon-Sung;Chung, Young-Ho
    • The Korean Journal of Pesticide Science
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    • v.10 no.1
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    • pp.7-14
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    • 2006
  • Three-dimensional quantitative structure-activity relationships (3D-QSARs) on the herbicidal activities against in-vitro pre-emergence rice plant (Oryza sativa L.) and barnyard grass (Echinochloa crus-galli) by new 5-benzofuryl-2-[1-(alkoxyimino)alkyl]-3-hydroxycyclohex-2-en-1-one derivatives were studied quantitatively using comparative molecular similarity indices analysis (CoMSIA) methodology. The optimized CoMSIA model(A5: $r^2_{cv.}=0.569$ & $r^2_{ncv.}=0.941$) for rice plant exhibited a good correlation with steric (31.6%) and hydrophobic (39.7%) factors of the substrate molecules, and the model (B4: $r^2_{cv.}=0.569$ & $r^2_{ncv.}=0.941$) for barnyardgrass exhibited a good correlation with electrostatic (46.7%) and H-bond acceptor field (30.8%), respectively. The predicted $R_1=SF_5,\;R_2=R_3=R_4=H(P1)$ substituent (Rice plant: $pI_{50}=4.84$ & Barnyardgrass: $pI_{50}=7.21$, ${\Delta}pI_{50}=2.37$) by the model (B4) not only exhibited to the highest herbicidal activity against barnyardgrass, but also exhibited to the highest selecticity between two plants.