首页> 外文会议>International Workshop on Quantitative Structure-Activity Relationships in Environmental Sciences >Quantitative Structure-Activity Relationshipsin Predicting Chemical Toxicity:When is the Prediction Reliable?
【24h】

Quantitative Structure-Activity Relationshipsin Predicting Chemical Toxicity:When is the Prediction Reliable?

机译:预测化学毒性的定量结构 - 活性关系:预测何时可靠?

获取原文

摘要

The possibility of predicting molecular properties before the molecule is even syn-thesized is perhaps the most beneficial application of quantitative structure-activity relationship(QSAR) studies. However, before a QSAR-based prediction for a query chemical can be acceptedwith confidence, it needs to be ascertained that 1) the predictive QSAR model is statisticallyrobust, 2) the QSAR model is applicable to the query chemical, and 3) the chemicals "similar" tothe query are correctly predicted by the QSAR models. This chapter lists steps and methods nec-essary to ascertain the stability and robustness of a QSAR model. This chapter also describes de-termination of the optimum prediction space (OPS) associated with a QSAR model; OPS is thespace inside and near the vicinity of which a QSAR model is applicable. The paper further intro-duces the concept of "QSAR similarity" as opposed to "structure similarity" to evaluate predic-tion accuracy on compounds with QSAR similarity to the query.
机译:在分子之前预测分子特性的可能性甚至是Syn-吩咐的可能是定量结构 - 活性关系(QSAR)研究的最有益的应用。然而,在基于QSAR的查询化学物质的预测之前可以接受置信度,需要确定1)预测QSAR模型是统计上的,2)QSAR模型适用于查询化学品,3)化学品“类似于QSAR模型正确预测了类似的查询。本章列出了NEC-ESSARE的步骤和方法,以确定QSAR模型的稳定性和鲁棒性。本章还描述了与QSAR模型相关的最佳预测空间(OPS)的解除终止; OPS在附近的内部和接近附近的空间适用。该论文进一步介绍了“QSAR相似性”的概念,而不是“结构相似性”,以评估与查询的QSAR相似性的化合物上的谓词精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号