皮肤致敏
敏化
计算机科学
最上等的
集合(抽象数据类型)
数量结构-活动关系
模式(计算机接口)
生化工程
人工智能
机器学习
生物系统
计算生物学
数据挖掘
化学
人机交互
工程类
生物
神经科学
纺纱
高分子化学
程序设计语言
作者
Ernesto Estrada,Grace Patlewicz,M. Chamberlain,David Basketter,Sue Larbey
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.
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