Structure-Activity Relationship Analysis of the Thermal Stabilities of Nitroaromatic Compounds Following Different Decomposition Mechanisms

被引:4
|
作者
Li, Jiazhong [1 ]
Liu, Huanxiang [1 ]
Huo, Xing [2 ]
Gramatica, Paola [3 ]
机构
[1] Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China
[2] Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China
[3] Univ Insubria, QSAR Res Unit Environm Chem & Ecotoxicol, Dept Theoret & Appl Sci, I-21100 Varese, Italy
基金
中国国家自然科学基金;
关键词
Quantitative StructureActivity Relationship (QSAR); Heat of decomposition; Nitroaromatic compounds; External validation parameters; CONCORDANCE CORRELATION-COEFFICIENT; DIFFERENT VALIDATION CRITERIA; REAL EXTERNAL PREDICTIVITY; MOLECULAR-STRUCTURE; QSAR MODELS; CHEMICALS; PRINCIPLES; EVALUATE; SET;
D O I
10.1002/minf.201200089
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The decomposition behavior of energetic materials is very important for the safety problems concerning their production, transportation, use and storage, because molecular decomposition is intimately connected to their explosive properties. Nitroaromatic compounds, particularly nitrobenzene derivatives, are often considered as prototypical energetic molecules, and some of them are commonly used as high explosives. Quantitative structure-activity relationship (QSAR) represents a potential tool for predicting the thermal stability properties of energetic materials. But it is reported that constructing general reliable models to predict their stability and their potential explosive properties is a very difficult task. In this work, we make our efforts to investigate the relationship between the molecular structures and corresponding thermal stabilities of 77 nitrobenzene derivatives with various substituent functional groups (in ortho, meta and/or para positions). The proposed best MLR model, developed by the new software QSARINS, based on Genetic Algorithm for variable selection and with various validation tools, is robust, stable and predictive with R2 of 0.86, QLOO2 of 0.79 and CCC of 0.90. The results indicated that, though difficult, it is possible to build predictive, externally validated QSAR models to estimate the thermal stability of nitroaromatic compounds.
引用
收藏
页码:193 / 202
页数:10
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