构效关系分析环氧水解酶对映体选择性机制OA
Structure-activity relationship analysis of enantioselectivity mechanism of epoxide hydrolases
通过构建环氧水解酶AuEH2突变体与环氧化合物的三维定量构效关系(3D-QSAR),探讨不同取代基团对其对映选择性的影响机制.研究采用偏最小二乘(PLS)方法将AuEH2对映体比率E值作为因变量,构建比较分子场分析法(CoMFA)和比较分子相似性分析法(CoMSIA)模型.结果表明,CoMFA模型和CoMSIA模型的相关统计学指标符合标准,CoMSIA模型分析表明疏水场和静电场贡献值分别为45.5%和30.0%,CoMSIA模型预测的17个训练集和3个测试集E值与实验值高度一致.基于模型预测了邻氟环氧苯乙烷(21a)和间甲氧基苯酚缩水甘油醚(22a)这两种高E值环氧化物,实验验证其E值分别为85和54.结果发现,构建的3D-QSAR模型具有良好的拟合度和预测准确性,环氧化合物的疏水和静电基团为影响AuEH2突变体对映选择性的主要因素,3D-QSAR模型为环氧水解酶底物谱对映选择性识别机制的研究提供了理论依据.
To investigate the effect mechanism of substrates substituent groups on the enantioselectivi-ty of epoxide hydrolases,the Three-Dimensional Quantitative Structure-Activity Relationship(3D-QSAR)model was constructed between epoxides and AuEH2 mutant enantioselectivity.Comparative Molecular Field Analysis(CoMFA)and Comparative Molecular Similarity Indices Analysis(CoM-SIA)models were constructed using the Partial Least Squares(PLS)method with the enantiomer ra-tios E as the dependent variables.The relevant statistical indicators of CoMFA and CoMSIA models met the standards.The CoMSIA model showed the hydrophobic and electrostatic field contribution factors were 45.5%and 30.0%.The E values of 17 training sets and 3 test sets predicted by CoMSIA model are highly consistent with the experimental values.Based on the above 3D-QSAR model,two high value-added epoxides 2-(2-fluorophenyl)oxirane(21a)and 2-[(3-methoxyphenoxy)methyl]ox-irane(22a)with high E values of 85 and 54,respectively,were predicted and verified by experiments.The constructed 3D-QSAR model was robust and effective for prediction.The hydrophobic and elec-trostatic fields of epoxides play the most important roles in determining the enantioselectivity of AuEH2 mutants.The 3D-QSAR model provides a theoretical basis for enantioselectivity recognition mechanism of epoxide hydrolases.
胡蝶;鲁志毅;白凝;李佳琳;任庆功;何玉财
常州大学 药学院,江苏 常州 213164常州大学 石油化工学院,江苏 常州 213164常州大学 药学院,江苏 常州 213164常州大学 药学院,江苏 常州 213164常州大学 石油化工学院,江苏 常州 213164常州大学 药学院,江苏 常州 213164
生物科学
环氧水解酶三维定量构效关系对映选择性预测等势图底物谱
epoxide hydrolasesthree-dimensional quantitative structure-activity relationshipenanti-oselectivity predictionequipotential mapsubstrate spectrum
《常州大学学报(自然科学版)》 2026 (4)
73-80,8
国家自然科学基金青年基金资助项目(2230081863)常州市"龙城英才计划"第四批市领军型创新人才引进培育资助项目(CQ20230097)常州市应用基础研究计划资助项目(CJ20252015).
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