酚类化合物麻醉毒性的CoFMA研究
CoMFA Study on Polar Narcosis Toxicity of Phenols
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摘要: 通过比较分子力场分析方法(CoMFA)建立酚类化合物对梨形四膜虫极性麻醉毒性(pT)的三维定量结构-活性相关(3D-QSAR)模型。基于训练集41个化合物建立了预测模型,10个化合物作为验证集(含模板分子)。训练集的CoMFA模型显示立体场、静电场对麻醉毒性贡献依次为53.9%和46.1%。其交叉验证相关系数(Rcv2)为0.735,非交叉验证相关系数(R2)为0.971。对训练集、测试集中的化合物麻醉毒性进行预测,显示出较强的稳定性和良好的预测能力。根据CoMFA模型的立体场和静电场三维等势线图可知,在羟基的间、对位上引入小体积基团,以及邻、对位有负电性基团,有利于提高酚类衍生物的麻醉毒性。基于此,设计了7种具有更高麻醉毒性的酚类化合物,有待生物医学实验验证。Abstract: The polar narcosis toxicity (pT) of phenols against Tetrahymena pyriformis was applied to 3D-QSAR models by using the comparative molecular field analysis (CoMFA) method. The predicting model was established based on the training set of 41 compounds, which was verified by the test set of 10 compounds (containing template molecule). The results showed that the contributions of steric and electrostatic fields were 53.9% and 46.1%, respectively. The coefficients of the cross-validation (Rcv2) and the non cross-validation (R2) were 0.735 and 0.971, respectively. The model were used to predict the activities of the compounds for the training set and the testing set. The results indicated that the model had strong stability and good predictability. According to the three-dimensional equipotential maps of the CoMFA model, it can be seen that the introduction of small-volume groups in the meta- and para-positions of hydroxyl groups, as well as ortho-and para-negative groups, is conducive to improving the anesthetic toxicity of phenolic derivatives. Based on the 3D-contour maps, seven phenols with higher polar narcosis toxicity were designed; however, those are still needed to be verified by the experimental results.
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王甫洋, 张学胜, 刘辉. 几种酚衍生物对青海弧菌Q67毒性的3D-QSAR研究[J]. 环境科学学报, 2012, 32(11):2884-2890 Wang F Y, Zhang X S, Liu H. 3D-QSAR study on the toxicities of phenol derivatives to Vibrio-qinghaiensis sp.-Q67[J]. Acta Scientiae Circumstantiae, 2012, 32(11):2884-2890(in Chinese)
邓小龙, 陈渊, 谭泗桥, 等. 醇酚类化合物毒性的QSAR研究[J]. 环境科学学报, 2016, 36(12):4490-4499 Deng X L, Chen Y, Tan S Q, et al. QSAR study on toxicities of alcohol and phenol compounds[J]. Acta Scientiae Circumstantiae, 2016, 36(12):4490-4499(in Chinese)
Feng H, Feng C J. 3D-QSAR studies on the anti-tumor activity of N-aryl-salicylamide derivatives[J]. Chinese Journal of Structural Chemistry, 2019, 38(11):1874-1880 Wang C, Feng C J. QSAR studies on the inhibitory activity of levofloxacin-thiadiazole HDACi conjugates to histone deacetylases[J]. Chinese Journal of Structural Chemistry, 2018, 37(11):1679-1688 Tong J B, Wang Y, Lei S, et al. 3D-QSAR and docking studies of 1,3,4-thiazolidinone derivatives using R-group search and surflex-dock[J]. Chinese Journal of Structural Chemistry, 2019, 38(3):464-475 Qu R J, Liu J Q, Li C G, et al. Experimental and theoretical insights into the photochemical decomposition of environmentally persistent perfluorocarboxylic acids[J]. Water Research, 2016, 104:34-43 张文灏, 陈景文, 徐童, 等. 外源化合物在鱼体内生物半减期的QSAR模型[J]. 生态毒理学报, 2019, 14(3):90-98 Zhang W H, Chen J W, Xu T, et al. QSAR models for predicting biological half-life of xenobiotics in fish[J]. Asian Journal of Ecotoxicology, 2019, 14(3):90-98(in Chinese)
郑玉婷, 乔显亮, 于洋, 等. 有机化学品生物富集因子定量结构-活性关系模型[J]. 生态毒理学报, 2019, 14(2):214-221 Zheng Y T, Qiao X L, Yu Y, et al. Quantitative structure-activity relationship model for bioconcentration factors of organic chemicals[J]. Asian Journal of Ecotoxicology, 2019, 14(2):214-221(in Chinese)
冯长君. 吡啶酰氨磺酰胺衍生物杀菌活性的理论研究[J]. 徐州工程学院:自然科学版, 2017, 32(3):23-27 Feng C J. Theoretical study on the antifungal activity of pyridinecarboxamide cyclohexyl sulfonamides to Rhizoctonia cerealis[J]. Journal of Xuzhou Institute of Technology:Natural Sciences Edition, 2017, 32(3):23-27(in Chinese)
冯长君. 取代三唑-噻二唑类化合物生物活性的QSAR研究[J]. 徐州工程学院:自然科学版, 2018, 33(4):39-44 Feng C J. QSAR study on the biological activity of substituted triazole-thiadiazoles derivatives[J]. Journal of Xuzhou Institute of Technology:Natural Sciences Edition, 2018, 33(4):39-44(in Chinese)
唐自强, 冯长君. 硝基芳烃对梨形四膜虫急性毒性的CoMFA模型[J]. 生态毒理学报, 2020, 15(5):327-332 Tang Z Q, Feng C J. CoMFA model for acute toxicity of nitroaromatic compounds to Tetrahymena pyriformis[J]. Asian Journal of Ecotoxicology, 2020, 15(5):327-332(in Chinese)
冯长君. 苯磺酰脲类化合物除草活性的CoFMA模型[J]. 徐州工程学院学报:自然科学版, 2019, 34(2):21-25 Feng C J. CoFMA model of herbicidal activity of phenyl-sulfonylurea derivatives[J]. Journal of Xuzhou Institute of Technology:Natural Sciences Edition, 2019, 34(2):21-25(in Chinese)
Babu S, Sohn H, Madhavan T. Computational analysis of CRTh2 receptor antagonist:A ligand-based CoMFA and CoMSIA approach[J]. Computational Biology and Chemistry, 2015, 56:109-121 Wang J L, Li L, Hu M B, et al. In silico drug design of inhibitor of nuclear factor kappa B kinase subunit beta inhibitors from 2-acylamino-3-aminothienopyridines based on quantitative structure-activity relationships and molecular docking[J]. Computational Biology and Chemistry, 2019, 78:297-305 Feng H, Feng C J, Cao J P. Study on the biological activity of 3-aroyl-5-substituted thiophene derivatives based on the CoMFA method[J]. Chinese Journal of Structural Chemistry, 2020, 39(11):1978-1984 Feng H, Du X H, Chen Y, et al. 3D-QSAR models of anti-tumor activity for histone deacetylase inhibitors containing dihydropyridin-2-one[J]. Chinese Journal of Structural Chemistry, 2020, 39(5):855-860 Feng H, Feng C J. CoMFA model of anti-tumor activity for fluoroquinolon-3-yl-s-triazole sulfide-ketone derivatives and implications for molecular design[J]. Chinese Journal of Structural Chemistry, 2021, 40(6):703-710 唐自强, 冯长君. 取代苯酚类化合物抑藻活性的CoMFA模型[J]. 生态毒理学报, 2019, 14(4):192-196 Tang Z Q, Feng C J. CoMFA model for inhibitory activity of chlorinated phenolic compounds to Dunaliella salina[J]. Asian Journal of Ecotoxicology, 2019, 14(4):192-196(in Chinese)
冯长君. 硝基苯衍生物对发光菌抑制毒性的CoMFA模型[J]. 徐州工程学院学报:自然科学版, 2020, 35(1):28-31 Feng C J. CoMFA model of inhibitory activity for nitrobenzene derivatives to Photobacteria[J]. Journal of Xuzhou Institute of Technology:Natural Sciences Edition, 2020, 35(1):28-31(in Chinese)
Dixit A, Kashaw S K, Gaur S, et al. Development of CoMFA, advance CoMFA and CoMSIA models in pyrroloquinazolines as thrombin receptor antagonist[J]. Bioorganic & Medicinal Chemistry, 2004, 12(13):3591-3598 孙钦超, 冯大诚. 头孢类抗生素定量结构-活性关系的密度泛函研究[J]. 高等学校化学学报, 2007, 28(4):696-699 Sun Q C, Feng D C. DFT study and quantitative structure-activity relationship for cephalosporin derivatives[J]. Chemical Journal of Chinese Universities, 2007, 28(4):696-699(in Chinese)
刘东, 章文军, 许禄. 手性羟酸和氨基酸类化合物的构效关系研究[J]. 化学学报, 2009, 67(2):145-150 Liu D, Zhang W J, Xu L. Quantitative structure-activity/property relationships for chiral hydroxy acids and amino acids[J]. Acta Chimica Sinica, 2009, 67(2):145-150(in Chinese)
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