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基于二维多元线性回归(2D-MLR)和三维定量构效关系(3D-QSAR)模型的喹唑啉-2,4-二酮作为对羟基苯基丙酮酸双加氧酶(HPPD)抑制剂的新研究

New Research for Quinazoline-2,4-diones as HPPD Inhibitors Based on 2D-MLR and 3D-QSAR Models.

作者信息

Fu Ying, Sun Yi-Na, Cao Hai-Feng, Yi Ke-Han, Zhao Li-Xia, Li Jia-Zhong, Ye Fei

机构信息

Department of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin, 150030, China.

School of Pharmacy, Lanzhou University, 199 West Donggang Rd., Lanzhou 730000, China.

出版信息

Comb Chem High Throughput Screen. 2017;20(9):748-759. doi: 10.2174/1386207320666170622073738.

Abstract

AIM AND OBJECTIVE

4-Hydroxyphenylpyruvate dioxygenase (HPPD), converting phydroxyphenylpyruvate (HPPA) to homogentisate (HGA), is an important target for treating type I tyrosinemia and synthesizing novel herbicides due to its significant role in tyrosine catabolism. Hence, it is imperative to design novel HPPD inhibitors that can block HPPA-HGA conversion, which leads to the deficiency in isoprenoid redox cofactors such as plastoquinone and tocopherol, and finally caused growth inhibition. This study was undertaken to investigate structural requirements for their HPPD inhibition with better biological activity.

MATERIALS AND METHODS

Based on the structure-activity relationships, a series of quinolinone-2,4- diones derivatives were studied using combined of 2D multiple linear regression (2D-MLR) and 3D quantitative structure-activity relationship (3D-QSAR). Firstly, genetic algorithm (GA) was applied and descriptors generated in DRAGON 5.5 software were used for building 2D-MLR models in the QSARINGS. Then CoMFA and CoMSIA models were performed by using alignment of the common framework and the pharmacophore model. The obtained models were validated through internal and external validation to verify predictive abilities. Especially, the CoMFA and CoMSIA contour maps were used to show vital structural characteristics related to HPPD inhibitors activities.

RESULTS

The 2D-MLR liner equation and corresponding parameters were listed as follows: pK = -38.2034Me+22.4078GATS2m-1.4265EEig15r-2.1849Hy+32.9158 n=28, n=6, R=0.863, Q=0.787, Q=0.607, Q=0.780, Q=0.780, Q=0.860, CCC=0.920. RMSE=0.253, RMSE=0.555, F=36.289 The steric contours graph indicated that small and negative electrostatic substitutions at R and R regions were favorable for the better activity, and hydrogen-bond donors at this region would also increase the activity. Positive electrostatic and bulky substitutions in the R position would enhance the activity. The analysis of these models suggested that the steric factor of R position was crucial for activity of quinazoline-2,4-diones HPPD inhibitors, bulky substitutions might improve the bioactivity of these inhibitors greatly, meanwhile, hydrogen-bond acceptor groups in this position were required for higher activity.

CONCLUSION

In this study, a combined 2D-MLR, CoMFA and CoMSIA models demonstrated satisfying results through internal and external validation, especially good predictive abilities and the CoMFA and CoMSIA contour maps showed vital structural characteristics related to HPPD inhibitors activities.

摘要

目的

4-羟基苯丙酮酸双加氧酶(HPPD)将对羟基苯丙酮酸(HPPA)转化为尿黑酸(HGA),由于其在酪氨酸分解代谢中的重要作用,它是治疗I型酪氨酸血症和合成新型除草剂的重要靶点。因此,设计能够阻断HPPA-HGA转化的新型HPPD抑制剂势在必行,这种转化会导致类异戊二烯氧化还原辅因子如质体醌和生育酚的缺乏,最终导致生长抑制。本研究旨在探讨具有更好生物活性的HPPD抑制的结构要求。

材料与方法

基于构效关系,采用二维多元线性回归(2D-MLR)和三维定量构效关系(3D-QSAR)相结合的方法研究了一系列喹啉酮-2,4-二酮衍生物。首先,应用遗传算法(GA),并将在DRAGON 5.5软件中生成的描述符用于在QSARINGS中构建2D-MLR模型。然后,通过共同框架的比对和药效团模型进行CoMFA和CoMSIA模型。通过内部和外部验证对所得模型进行验证,以验证其预测能力。特别是,CoMFA和CoMSIA等高线图用于显示与HPPD抑制剂活性相关的重要结构特征。

结果

2D-MLR线性方程及相应参数如下:pK=-38.2034Me+22.4078GATS2m-1.4265EEig15r-2.1849Hy+32.9158 n=28,n=6,R=0.863,Q=0.787,Q=0.607,Q=0.780,Q=0.780,Q=0.860,CCC=0.920。RMSE=0.253,RMSE=0.555,F=36.289 空间等高线图表明,R和R区域的小的和负的静电取代有利于更好的活性,该区域的氢键供体也会增加活性。R位置的正静电和大体积取代会增强活性。这些模型的分析表明,R位置的空间因素对喹唑啉-2,4-二酮HPPD抑制剂的活性至关重要,大体积取代可能会大大提高这些抑制剂的生物活性,同时,该位置的氢键受体基团对于更高的活性是必需的。

结论

在本研究中,2D-MLR、CoMFA和CoMSIA模型相结合通过内部和外部验证显示出令人满意的结果,特别是具有良好的预测能力,并且CoMFA和CoMSIA等高线图显示了与HPPD抑制剂活性相关的重要结构特征。

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