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首页> 外文期刊>Bulletin of the Korean Chemical Society >3D-QSAR Study on the Influence of Alrylamino (R) Substituents on Herbicidal Activity of Thiourea Analogues
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3D-QSAR Study on the Influence of Alrylamino (R) Substituents on Herbicidal Activity of Thiourea Analogues

机译:3D-QSAR研究Alrylamino(R)取代基对硫脲类似物除草活性的影响

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Influences of alrylamino (R) substituents on the herbicidal activity (pI50) of 1-(4-chloro-2-fluoro-5-propargyloxypheny)- 3-(R)-thiourea analogues (1 ~ 35) against the barnyard grass (Echinochloa crusgalli) in the pre-emergence step were discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) as the three dimensional quantitative structure-activity relationship (3D-QSAR) method. The statistically most satisfactory CoMFA models for the herbicidal activity against the barnyard grass had the better predictability (r2cv.) and correlativity (r2ncv.) than those of CoMSIA models. The optimized CoMFA model 1(r2cv. = 0.531 & r2ncv. = 0.931) with the sensitivity to the perturbation (dq2`/dr2yy` = 1.081) and the prediction (q2 = 0.475)produced by a progressive scrambling analyses were not dependent on chance correlation. And statistical qualities with the atom based fit alignment (AF) were slightly higher than those of the field fit alignment (FF). According to the optimized CoMFA model 1, the contribution ratio (%) of the steric field (76.9%) on the herbicidal activity of the Thioureas was three-fold higher than that of the electrostatic field (20.1%) and the hydrophobic field (3.0%) had the least influence. A steric favor group is on the vicinity of the nitrogen atom in alrylamino (R) substituent, and a steric disfavor group is on the outer side of alrylamino (R) substituent. Thus, as the size of alrylamino (R) substituent increases, so does the herbicidal activity of the substituent.
机译:Alrylamino(R)取代基对1-(4-氯-2-氟-5-氟丙炔氧基苯基)-3-(R)-硫脲类似物(1〜35)对grass草(Echinochloa)除草活性(pI50)的影响使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)作为三维定量构效关系(3D-QSAR)方法,对发芽前步骤中的杂草进行了定量讨论。统计上最令人满意的针对MF草的除草活性的CoMFA模型比CoMSIA模型具有更好的可预测性(r2cv。)和相关性(r2ncv。)。优化的CoMFA模型1(r2cv = 0.531&r2ncv。= 0.931)具有对扰动的灵敏度(dq2` / dr2yy` = 1.081)和通过渐进式加扰分析得出的预测(q2 = 0.475)不依赖于机会相关性。基于原子的拟合比对(AF)的统计质量略高于现场拟合比对(FF)的统计质量。根据优化的CoMFA模型1,空间场(76.9%)对硫脲类除草活性的贡献率(%)比静电场(20.1%)和疏水性场(3.0)高三倍。 %)的影响最小。空间有利基团在Alrylamino(R)取代基中的氮原子附近,而空间不利基团在Alrylamino(R)取代基的外侧。因此,随着alrylamino(R)取代基的尺寸增加,该取代基的除草活性也增加。

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