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Computer-aided knowledge generation for understanding skin sensitization mechanisms: the TOPS-MODE approach.

机译:用于理解皮肤敏感机制的计算机辅助知识生成:TOPS-MODE方法。

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摘要

The TOPS-MODE (topological substructural molecular descriptors) approach is used to derive models for understanding the molecular structural contribution to skin sensitization. A data set of 93 compounds was used in the development of the models; 29 new skin sensitization values (EC3) are reported here for the first time. The models developed possess high predictivity and have been validated through the use of cross-validation and external validation sets. The models have enabled the formulation of potential new structural alerts far faster and using less data than typically required by traditional approaches. Structural contributions to skin sensitization for various classes of chemicals are presented on the basis of bond contributions. The models have also been able to identify potential structural alerts for chemicals requiring metabolic activation.
机译:TOPS-MODE(拓扑亚结构分子描述符)方法用于导出用于理解分子结构对皮肤致敏作用的模型。在模型开发中使用了93种化合物的数据集。首次在此报告了29个新的皮肤敏化值(EC3)。所开发的模型具有较高的可预测性,并且已通过使用交叉验证和外部验证集进行了验证。与传统方法通常所需要的相比,这些模型能够更快地制定潜在的新结构警报,并使用更少的数据。基于键的贡献,提出了各种化学物质对皮肤致敏的结构性贡献。这些模型还能够识别出需要代谢活化的化学物质的潜在结构性警报。

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