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生物质化学工程 ›› 2021, Vol. 55 ›› Issue (1): 49-55.doi: 10.3969/j.issn.1673-5854.2021.01.007

• 研究报告 • 上一篇    下一篇

柠檬醛基抗油茶炭疽病菌衍生物的定量构效关系研究

曾嵘1, 司红燕1, 陈尚钘1, 宋杰2, 王宗德1, 廖圣良1,*()   

  1. 1. 江西农业大学 林学院, 国家林业和草原局木本香料(华东)工程技术研究中心, 江西 南昌 330045
    2. 密歇根大学-弗林特 化学与生物化学系, 美国 弗林特 48502
  • 收稿日期:2020-07-15 出版日期:2021-01-30 发布日期:2021-01-25
  • 通讯作者: 廖圣良 E-mail:liaosl@jxau.edu.cn
  • 作者简介:廖圣良, 助理研究员, 博士, 主要从事植物精油开发与利用研究; E-mail:liaosl@jxau.edu.cn
    曾嵘(1996-), 女, 江西上饶人, 硕士生, 主要从事植物精油衍生物合成研究
  • 基金资助:
    国家重点研发计划资助项目(2017YFD0600704);国家自然科学基金资助项目(31800493);国家自然科学基金资助项目(31960295)

Quantitative Structure-activity Relationship Analysis of Citral-based Antifungal Derivatives Against Colletotrichum gloeosporioides

Rong ZENG1, Hongyan SI1, Shangxing CHEN1, Jie SONG2, Zongde WANG1, Shengliang LIAO1,*()   

  1. 1. College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Technology Research Center of National Forestry and Grassland Administration, Nanchang 330045, China
    2. Department of Chemistry and Biochemistry, University of Michigan-Flint, Flint MI 48502, USA
  • Received:2020-07-15 Online:2021-01-30 Published:2021-01-25
  • Contact: Shengliang LIAO E-mail:liaosl@jxau.edu.cn

摘要:

为探讨柠檬醛基衍生物的结构与其对油茶炭疽病菌的抗菌活性之间的关系,研究了柠檬醛基抗油茶炭疽病菌衍生物的定量构效关系。使用计算化学软件Gauss View05、Gaussian 09W、Ampac和Codessa分别完成了柠檬醛基衍生物分子结构的构建、优化、描述符计算与筛选,以及QSAR模型建立。结果表明:建立了一个含有4个描述符:氢原子之间的相互斥力、分子中带正电荷加权部分表面积比例、氢原子的数量、分子表面正电荷分布以及分子总表面积的最佳QSAR模型,相关系数(R2)为0.926 5。对最佳QSAR模型进行内部检验和外部检验,其中留一法内部检验的RCV2=0.865 7,三重内部检验的Rtraining2=0.879 3、Rtest2=0.882 4;外部检验的R2=0.946 7,表明该模型具有良好的稳定性和预测能力。解析建模描述符可知,柠檬醛基衍生物分子结构中与氢键供体相关的描述符对抗菌活性具有显著影响。本研究可为新型柠檬醛抗油茶炭疽病菌衍生物的设计与合成提供理论指导。

关键词: 柠檬醛, 衍生物, 定量构效关系, 启发式回归

Abstract:

In order to investigate the relationship between the structure of citral derivatives and their antifungal activities against Colletotrichum gloeosporioides, the quantitative structure-activity relationship study of citral-based derivatives against C. gloeosporioides was carried out. The computational chemistry softwares GaussView 05, Gaussian 09W, Ampac and Codessa were used to finish the molecular structure optimization, descriptor calculation and screening, and QSAR model construction. The results showed that the best QSAR model with four descriptors, including Min e-e repulsion for a H atom; ESP-FPSA-3 Fractional PPSA(PPSA-3/TMSA); number of H atoms; WPSA-3 Weighted PPSA(PPSA-3*TMSA/1000), were established, and its correlation coefficient (R2) was 0.926 5. Internal validation and external validation of the best QSAR model were carried out. The result of the leave-one-out internal validation was RCV2=0.865 7, the results of the three-fold internal validation were Rtraining2=0.879 3, Rtest2=0.882 4, and the result of external validation was Rext2=0.946 7. These results indicated that the best QSAR model exhibited good stability and predictability. Analysis of the modeling descriptors indicated that the descriptors related to hydrogen bond donors in the molecular structure of citral-based derivatives had a significant effect on antifungal activity against C. gloeosporioides. This study can provide theoretical guidance for the design of citral-based derivatives with better antifungal activity against C. gloeosporioides.

Key words: citral, derivatives, quantitative structure-activity relationship (QSAR), heuristic regression

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