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首页> 外文期刊>Journal of Computer-Aided Molecular Design >TOPS-MODE versus DRAGON descriptors to predict permeability coefficients through low-density polyethylene
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TOPS-MODE versus DRAGON descriptors to predict permeability coefficients through low-density polyethylene

机译:TOPS-MODE与DRAGON描述子通过低密度聚乙烯预测渗透系数

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The TOPological Sub-Structural MOlecular DEsign (TOPS-MODE) approach has been applied to the study of the permeability coefficient of various compounds through low-density polyethylene at 0degreesC. A model able to describe more than 92% of the variance in the experimental permeability of 38 organic compounds was developed with the use of the mentioned approach. In contrast, none of eight different approaches, including the use of constitutional, topological, BCUT, 2D autocorrelations, geometrical, RDF, 3D Morse, and GETAWAY descriptors was able to explain more than 75% of the variance in the mentioned property with the same number of descriptors. In addition, the TOPS-MODE approach permitted to find the contribution of different fragments to the permeability coefficients, giving to the model a straightforward structural interpretability. [References: 45]
机译:拓扑亚结构分子设计(TOPS-MODE)方法已被用于研究各种化合物在0℃下通过低密度聚乙烯的渗透系数。使用上述方法,开发了一种能够描述38种有机化合物的实验渗透率差异超过92%的模型。相比之下,包括使用构造,拓扑,BCUT,2D自相关,几何,RDF,3D Morse和GETAWAY描述符在内的八种不同方法中,没有一种能够用相同的方法解释上述属性中超过75%的方差描述符数量。此外,TOPS-MODE方法可以发现不同碎片对渗透系数的贡献,从而为模型提供了直接的结构可解释性。 [参考:45]

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