• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

[用于预测咪唑鎓离子液体毒性的定量构效关系/定量结构性质关系]

[QSAR/QSPR for predicting the toxicity of imidazolium ionic liquids].

作者信息

Zhao Ji-hong, Zhao Yong-sheng, Zhang Hong-zhong, Zhang Xiang-ping

机构信息

Department of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

出版信息

Huan Jing Ke Xue. 2013 May;34(5):1882-6.

PMID:23914543
Abstract

Ionic liquids have received lots of attention due to their physical and chemical characteristics. They are honoured the sustainable "Green Solvent". In this paper, the QSPR/QSAR (quantitative structure-property/activity relationships) method was used to study the quantitative relationship between the toxicity and structure of 43 kinds of imidazolium ionic liquids, 10 kinds of substances were used to carry out the external test. The model contains six structural descriptors selected from heuristic method, and R2, R2(CV), F and S2 of the model were 0.921, 0.894, 70.35, 0.098 respectively. Test set was used to conduct external validation, and the R2 was 0.952. The result showed that this model had good reliability, and can be used to predict the toxicity of imidazolium ionic liquids.

摘要

离子液体因其物理和化学特性而备受关注。它们被誉为可持续的“绿色溶剂”。本文采用定量结构-性质/活性关系(QSPR/QSAR)方法研究了43种咪唑鎓离子液体的毒性与结构之间的定量关系,并用10种物质进行了外部测试。该模型包含从启发式方法中选择的六个结构描述符,模型的R2、R2(CV)、F和S2分别为0.921、0.894、70.35、0.098。使用测试集进行外部验证,R2为0.952。结果表明该模型具有良好的可靠性,可用于预测咪唑鎓离子液体的毒性。

相似文献

1
[QSAR/QSPR for predicting the toxicity of imidazolium ionic liquids].[用于预测咪唑鎓离子液体毒性的定量构效关系/定量结构性质关系]
Huan Jing Ke Xue. 2013 May;34(5):1882-6.
2
Norm index in QSTR work for predicting toxicity of ionic liquids on Vibrio fischeri.QSTR 工作中的归一化指数可用于预测离子液体对费氏弧菌的毒性。
Ecotoxicol Environ Saf. 2020 Dec 1;205:111187. doi: 10.1016/j.ecoenv.2020.111187. Epub 2020 Aug 24.
3
A novel group contribution method in the development of a QSAR for predicting the toxicity (Vibrio fischeri EC50) of ionic liquids.一种用于开发预测离子液体毒性(费氏弧菌EC50)的定量构效关系的新型基团贡献法。
Ecotoxicol Environ Saf. 2007 Jul;67(3):423-9. doi: 10.1016/j.ecoenv.2006.06.010. Epub 2006 Aug 4.
4
Effect of imidazolium-based ionic liquids on bacterial growth inhibition investigated via experimental and QSAR modelling studies.通过实验和定量构效关系模型研究研究了咪唑鎓基离子液体对细菌生长抑制的影响。
J Hazard Mater. 2015 Oct 30;297:198-206. doi: 10.1016/j.jhazmat.2015.04.082. Epub 2015 May 1.
5
How the structure of ionic liquid affects its toxicity to Vibrio fischeri?离子液体的结构如何影响其对费氏弧菌的毒性?
Chemosphere. 2016 Sep;159:199-207. doi: 10.1016/j.chemosphere.2016.06.004. Epub 2016 Jun 10.
6
Toxicity of ionic liquids: database and prediction via quantitative structure-activity relationship method.离子液体的毒性:数据库和定量结构-活性关系方法预测。
J Hazard Mater. 2014 Aug 15;278:320-9. doi: 10.1016/j.jhazmat.2014.06.018. Epub 2014 Jun 20.
7
Quantitative structure-activity relationship for toxicity of ionic liquids to Daphnia magna: aromaticity vs. lipophilicity.离子液体对大型溞毒性的定量构效关系:芳香性与亲脂性。
Chemosphere. 2014 Oct;112:120-7. doi: 10.1016/j.chemosphere.2014.04.002. Epub 2014 May 4.
8
Interpretation of toxicological activity of ionic liquids to acetylcholinesterase inhibition via in silico modelling.通过计算机模拟对离子液体对乙酰胆碱酯酶抑制的毒理学活性进行解读。
Chemosphere. 2016 Sep;159:178-183. doi: 10.1016/j.chemosphere.2016.06.005. Epub 2016 Jun 10.
9
Toxicity of imidazolium salt with anion bromide to a phytoplankton Selenastrum capricornutum: effect of alkyl-chain length.含溴离子的咪唑盐对浮游植物羊角月牙藻的毒性:烷基链长度的影响
Chemosphere. 2007 Oct;69(6):1003-7. doi: 10.1016/j.chemosphere.2007.06.023. Epub 2007 Jul 25.
10
Development of QSAR model to predict the ecotoxicity of Vibrio fischeri using COSMO-RS descriptors.使用COSMO-RS描述符开发预测费氏弧菌生态毒性的QSAR模型。
Chemosphere. 2017 Mar;170:242-250. doi: 10.1016/j.chemosphere.2016.12.003. Epub 2016 Dec 5.