Suppr超能文献

定量构效关系预测苯酚对发光菌毒性。

Quantitative structure-activity relationship for prediction of the toxicity of phenols on Photobacterium phosphoreum.

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210046, People's Rebuplic of China.

出版信息

Bull Environ Contam Toxicol. 2012 Jul;89(1):27-31. doi: 10.1007/s00128-012-0662-3. Epub 2012 May 5.

Abstract

Quantitative structure-activity relationships (QSAR) is an alternative to experimental toxicity testing and recommended by environmental protection agencies. In this background, an accurate and reliable QSAR model of 18 phenols for their toxicity to Photobacterium phosphoreum was developed using mechanistically interpretable molecular structural descriptors. The QSAR model was developed by stepwise multiple linear regression and the reliability of the model was evaluated by internal and external validation. The cross-validated correlation coefficient (q (2)) was 0.7021, indicating good predictive ability for the toxicity of these phenols. The QSAR model suggests that the toxicity of the studied compounds mainly depends on the logarithm of octanol/water partition coefficient, dipole moment and the most negative atomic charge.

摘要

定量构效关系(QSAR)是实验毒性测试的替代方法,受到环境保护机构的推荐。在此背景下,我们使用具有机制解释力的分子结构描述符,为 18 种酚类化合物对发光菌的毒性开发了一个准确可靠的 QSAR 模型。该 QSAR 模型通过逐步多元线性回归建立,并通过内部和外部验证来评估模型的可靠性。交叉验证相关系数(q (2))为 0.7021,表明该模型对这些酚类化合物毒性具有良好的预测能力。QSAR 模型表明,研究化合物的毒性主要取决于辛醇/水分配系数的对数、偶极矩和最负原子电荷。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验