• Title/Summary/Keyword: Optimized 2D-QSAR & HQSAR model

Search Result 4, Processing Time 0.022 seconds

2D-QSAR and HQSAR Analysis on the Herbicidal Activity of New Cyclohexanedione Derivatives (새로운 Cyclohexanedione계 유도체의 제초활성에 관한 2D-QSAR 및 HQSAR 분석)

  • Kim, Yong-Chul; Hwang, Tae-Yeon;Sung, Nack-Do
    • The Korean Journal of Pesticide Science
    • /
    • v.12 no.1
    • /
    • pp.9-17
    • /
    • 2008
  • QSARs (Quantitative structure-activity relationships) between a series of new cyclohexanedione derivatives (5-benzofuryl-2-[1-(alkoxyimino)-alkyl]-3-hydroxycyclohex-2-en-1-ones) and their herbicidal activity against Rice plant (Oryza sativa L.) and Barnyard grass (Echinochloa crus-galli.) were discussed quantitatively using 2D-QSAR and holographic (H) QSAR methods. Generally, the HQSAR models have better predictability and fitness than the 2D-QSAR models. The herbicidal activities against Barnyard grass with 2D-QSAR II model were dependent upon Balaban indice (BI) of molecule and hydrophobicity of $R_1$ and $R_3$ group. And also, the $R_3=ethyl$ group, according to the information of the optimized HQSAR IV model, was more contribute to the herbicidal activities against Rice plant, while the 5-(cyclohex-3-enyl)-2,3-dihydrobenzofuran ring part was not contribute to the herbicidal activities against two plants.

QSAR on the Inhibition Acticity of Flavopiridol Analogues against Breast Cancer MCF-7 (Flavopiridol 유도체에 의한 유방암 MCF-7 세포의 저해 활성에 관한 구조와 활성과의 관계)

  • Soung, Min-Gyu;Joo, Sung-Mo;Song, Ah-Reum;Sung, Nack-Do
    • Applied Biological Chemistry
    • /
    • v.50 no.3
    • /
    • pp.147-153
    • /
    • 2007
  • To search for a molecular design of a new breast cancerous inhibitory active compound, 2D-QSAR and HQSAR between the substituents of flavopiridol analogues as substrates and their breast cancerous inhibitory activities against MCF-7 cell were analyzed and discussed quantitatively. It was found that the dispersion with molecule and steric hindrance with substituents will have a tremendous impact on the inhibitory activities from the 2D-QSAR model (1). Also, MR constant is better than that of MS constant as animportant factor. The inhibitory activities from 2D-QSAR model (2) were dependent upon the optimum MR constant (MR = 126 $Cm^3/mol$). Optimized HQSAR model (V) exhibited the best predictability of the inhibitory activities based on the cross-validated $r^2_{cv}$($q^2$= 0.583) and non-cross-validated conventional coefficient ($r^2_{ncv}$= 0.982). From the contribution maps, the inhibitory activity by the imino group on $C_9$ atom was higher than that of the hydroxyl group of $C_8$ atom on the A ring in molecule. Therefore, we can confirm that the dispersion by substituents in molecule is the most important factor in inhibitory activities against MCF-7 cell.

CoMSIA Analysis on The Inhibition Activity of PTP-1B with 3${\beta}$-Hydroxy-12-oleanen-28-oic Acid Analogues (3${\beta}$-Hydroxy-12-oleanen-28-oic Acid 유도체들의 PTP-1B저해활성에 대한 CoMSIA분석)

  • Kim, Sang-Jin;Chung, Young-Ho;Kim, Se-Gon;Sung, Nack-Do
    • Applied Biological Chemistry
    • /
    • v.51 no.3
    • /
    • pp.171-176
    • /
    • 2008
  • The comparative molecular similarity indices analysis (CoMSIA) models between 3${\beta}$-Hydroxy-12-oleanen-28-oic acid (1-30) analogues as substrate molecule and their inhibitory activities ($pI_{50}$) against protein tyrosine phosphatase (PTP)-1B were derived and discussed quantitatively. Listing in order, the CoMFA>CoMSIA${\geq}$HQSAR>2D-QSAR model, these QSAR models had the better statistical values. The optimized CoMSIA F1 model at grid 3.0${\AA}$ had the best predictability and fitness ($q^2$=0.754 and $r^2$=0.976) by field fit alignment. The order of contribution ratio (%) of CoMSIA fields concerning the inhibitory activities was a H-bond acceptor (48.9%), steric field (25.8%) and hydrophobic field (25.4%), respectively. Therefore, the inhibitory activities of substrate molecules against PTP-1B were dependent upon H-bond acceptor field (A) of $R_4$-group. From the analytical results of CoMSIA contour maps, oleanolic acid derivatives will have better inhibition activities if $R_1$ group has H-bond acceptor disfavor, $R_3$group has steric disfavor and $R_4$ group has steric, hydrophobic, H-bond favor.

The Search of Pig Pheromonal Odorants for Biostimulation Control System Technologies: Prediction of Pig Pheromonal Tetrahydrofuran-2-yl Family Compounds by Means of Ligand Based Approach (생물학적 자극 통제 수단으로 활용하기 위한 돼지 페로몬성 냄새 물질의 탐색: Ligand Based Approach에 의한 돼지 페로몬성 Tetrahydrofuran-2-yl 계 화합물의 예측)

  • Soung, Min-Gyu;Cho, Yun-Gi;Park, Chang-Sik;Sung, Nack-Do
    • Reproductive and Developmental Biology
    • /
    • v.32 no.3
    • /
    • pp.141-146
    • /
    • 2008
  • To search a new porcine pheromonal odorant, the models of four type (2D-QSAR, HQSAR, CoMFA & CoMSlA) were derived from quantitative structure-activity relationship (QSAR) between tetrahydrofuran-2-yl family compounds and their observed binding affinity constants (Obs.p$[Od]_{50}$). The optimized CoMFA model (predictability; $r^{2}_{cv.}(q^2)$=0.886 & correlation coefficient: $r^{2}_{ncv.}$=0.984) from ligand based approaches was confirmed as the best model among them. The $N^{1}$-allyl-$N^{2}$-(tetrahydrofuran-2-yl)methyl)oxalamide (P1), 2-(4-trimethylammoniummethylcyclohexyloxy)tetrahydrofurane (P5) and 2-(3-trimethylammoniummethylcyclohexyloxy)tetrahydrofurane (P6) molecules predicted as porcine pheromonal odorant by the CoMFA model were showed relatively high binding affinity constant values (Pred.p$[Od]_{50}=8{\sim}10$) and very lower toxicity values against some sorts of toxicity.