定量构效关系评价腙自由基清除能力

I. O. Alisi, A. Uzairu, S. Abechi, S. Idris
{"title":"定量构效关系评价腙自由基清除能力","authors":"I. O. Alisi, A. Uzairu, S. Abechi, S. Idris","doi":"10.29356/JMCS.V62I1.585","DOIUrl":null,"url":null,"abstract":"The 2, 2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging properties of selected hydrazone antioxidants was investigated by the application of Quantitative Structure Activity Relationship (QSAR). Density functional theory (DFT) was employed in the optimization of the molecular structures. Internal and external validation as well as y-randomization tests were conducted in order to confirm the statistical reliability and acceptability of the developed models. The leverage approach was employed in the assessment of the applicability domain of the developed model. While the relative contribution and strength of each descriptor in the model was obtained by estimating the variation inflation factor, mean effect, and degree of contribution of each descriptor in the developed model. Model 3 which gave the best validation results was chosen as the best of the five models. This model dictates that the most important descriptors that influence the free radical scavenging activities of  the hydrazone antioxidants are the Broto-Moreau autocorrelation - lag 2 / weighted by polarizabilities; Count of atom-type H E-State: H on C  bonded to saturated C; Number of hydrogen bond donors (using CDK H Bond Donor Count Descriptor algorithm); Structural information content index (neighborhood symmetry of 1-order) and the 3D topological distance based autocorrelation - lag 7 / weighted by I-state descriptors. The Structural information content index descriptor was observed to be the most influential of all the descriptors","PeriodicalId":21347,"journal":{"name":"Revista de la Sociedad Química de Mexico","volume":"462 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Free Radical Scavenging Activity Evaluation of Hydrazones by Quantitative Structure Activity Relationship\",\"authors\":\"I. O. Alisi, A. Uzairu, S. Abechi, S. Idris\",\"doi\":\"10.29356/JMCS.V62I1.585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 2, 2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging properties of selected hydrazone antioxidants was investigated by the application of Quantitative Structure Activity Relationship (QSAR). Density functional theory (DFT) was employed in the optimization of the molecular structures. Internal and external validation as well as y-randomization tests were conducted in order to confirm the statistical reliability and acceptability of the developed models. The leverage approach was employed in the assessment of the applicability domain of the developed model. While the relative contribution and strength of each descriptor in the model was obtained by estimating the variation inflation factor, mean effect, and degree of contribution of each descriptor in the developed model. Model 3 which gave the best validation results was chosen as the best of the five models. This model dictates that the most important descriptors that influence the free radical scavenging activities of  the hydrazone antioxidants are the Broto-Moreau autocorrelation - lag 2 / weighted by polarizabilities; Count of atom-type H E-State: H on C  bonded to saturated C; Number of hydrogen bond donors (using CDK H Bond Donor Count Descriptor algorithm); Structural information content index (neighborhood symmetry of 1-order) and the 3D topological distance based autocorrelation - lag 7 / weighted by I-state descriptors. The Structural information content index descriptor was observed to be the most influential of all the descriptors\",\"PeriodicalId\":21347,\"journal\":{\"name\":\"Revista de la Sociedad Química de Mexico\",\"volume\":\"462 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista de la Sociedad Química de Mexico\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29356/JMCS.V62I1.585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de la Sociedad Química de Mexico","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29356/JMCS.V62I1.585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

应用定量构效关系(QSAR)研究了选定的腙类抗氧化剂对2,2 -二苯基-1-吡啶酰肼(DPPH)自由基的清除性能。采用密度泛函理论(DFT)对分子结构进行了优化。进行了内部和外部验证以及y随机化检验,以确认所开发模型的统计可靠性和可接受性。利用杠杆法对所开发模型的适用范围进行了评估。通过估算模型中各描述符的变异膨胀因子、平均效应和贡献程度,得到模型中各描述符的相对贡献和强度。选择验证结果最好的模型3作为5个模型中的最佳模型。该模型表明,影响腙类抗氧化剂自由基清除活性的最重要描述符是Broto-Moreau自相关滞后2 /极化加权;原子型H -态计数:与饱和C键合的C上的H氢键供体数(使用CDK氢键供体数描述符算法);结构信息内容索引(1阶邻域对称)和基于i -状态描述符加权的三维拓扑距离自相关滞后7 /。结构信息内容索引描述符是所有描述符中影响最大的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Free Radical Scavenging Activity Evaluation of Hydrazones by Quantitative Structure Activity Relationship
The 2, 2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging properties of selected hydrazone antioxidants was investigated by the application of Quantitative Structure Activity Relationship (QSAR). Density functional theory (DFT) was employed in the optimization of the molecular structures. Internal and external validation as well as y-randomization tests were conducted in order to confirm the statistical reliability and acceptability of the developed models. The leverage approach was employed in the assessment of the applicability domain of the developed model. While the relative contribution and strength of each descriptor in the model was obtained by estimating the variation inflation factor, mean effect, and degree of contribution of each descriptor in the developed model. Model 3 which gave the best validation results was chosen as the best of the five models. This model dictates that the most important descriptors that influence the free radical scavenging activities of  the hydrazone antioxidants are the Broto-Moreau autocorrelation - lag 2 / weighted by polarizabilities; Count of atom-type H E-State: H on C  bonded to saturated C; Number of hydrogen bond donors (using CDK H Bond Donor Count Descriptor algorithm); Structural information content index (neighborhood symmetry of 1-order) and the 3D topological distance based autocorrelation - lag 7 / weighted by I-state descriptors. The Structural information content index descriptor was observed to be the most influential of all the descriptors
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Photocatalytic Removal of Malachite Green and Brilliant Blue Dyes from its Aqueous Solution: A Case Study of Factorial Experimental Design Adsorptive Removal of 2,4-Dichlorophenol from Aqueous Solution by Using Used Black Tea Leaves Preparation of poly(MPAEMA)/halloysite Nanocomposites and Investigation of Antiproliferative Activity Synthesis of Novel Benzylic 1,2,3-triazole-4-carboxamides and their in vitro Activity Against Clinically Common Fungal Species Antimicrobial Activity, Phenolic and Antioxidant Content of Extracts from Cuajilote (Parmentiera aculeata Kunth) Fruits at Different Degrees of Ripening
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1