基于PM3方法的量子力学和能量描述子对噻二唑和喹诺啉衍生物抗癫痫活性的QSAR研究

D. Mishra, Ashutosh Singh, S. K. Mishra, Priti Singh, Abhishek Singh, J. Kumar
{"title":"基于PM3方法的量子力学和能量描述子对噻二唑和喹诺啉衍生物抗癫痫活性的QSAR研究","authors":"D. Mishra, Ashutosh Singh, S. K. Mishra, Priti Singh, Abhishek Singh, J. Kumar","doi":"10.14233/ajomc.2022.ajomc-p371","DOIUrl":null,"url":null,"abstract":"QSAR analysis of the derivatives of thiadiazole and quinoxaline has been made for antiepileptic activity (pED50) using quantum mechanical and energy descriptors. The descriptors ionization potential, HOMO energy, LUMO energy, electron affinity, total energy, conformation minimum energy and log P have been used for QSAR analysis. The PM3 method has been employed for the calculation of descriptors. The best QSAR model has been obtained by using the descriptors electron affinity, total energy, conformation minimum energy and log P in which regression coefficient is 0.836651 and cross-validation coefficient is 0.761455. Also the single descriptor total energy is able to produce good QSAR model and hence the antiepileptic activity of any compound of the series can be predicted by calculating the value of total energy.","PeriodicalId":8544,"journal":{"name":"Asian Journal of Organic & Medicinal Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline\\nfor Antiepileptic Activity using Quantum Mechanical and Energy Descriptors\",\"authors\":\"D. Mishra, Ashutosh Singh, S. K. Mishra, Priti Singh, Abhishek Singh, J. Kumar\",\"doi\":\"10.14233/ajomc.2022.ajomc-p371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"QSAR analysis of the derivatives of thiadiazole and quinoxaline has been made for antiepileptic activity (pED50) using quantum mechanical and energy descriptors. The descriptors ionization potential, HOMO energy, LUMO energy, electron affinity, total energy, conformation minimum energy and log P have been used for QSAR analysis. The PM3 method has been employed for the calculation of descriptors. The best QSAR model has been obtained by using the descriptors electron affinity, total energy, conformation minimum energy and log P in which regression coefficient is 0.836651 and cross-validation coefficient is 0.761455. Also the single descriptor total energy is able to produce good QSAR model and hence the antiepileptic activity of any compound of the series can be predicted by calculating the value of total energy.\",\"PeriodicalId\":8544,\"journal\":{\"name\":\"Asian Journal of Organic & Medicinal Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Organic & Medicinal Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14233/ajomc.2022.ajomc-p371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Organic & Medicinal Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14233/ajomc.2022.ajomc-p371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

利用量子力学和能量描述符对噻二唑和喹诺啉衍生物的抗癫痫活性(pED50)进行了QSAR分析。描述符电离势、同能、LUMO能、电子亲和能、总能、构象最小能和logp被用于QSAR分析。描述符的计算采用了PM3方法。利用电子亲和、总能、构象最小能和log P等描述符,得到了最佳的QSAR模型,其中回归系数为0.836651,交叉验证系数为0.761455。此外,单一描述子总能量能够产生良好的QSAR模型,因此可以通过计算总能量值来预测该系列中任何化合物的抗癫痫活性。
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
PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline for Antiepileptic Activity using Quantum Mechanical and Energy Descriptors
QSAR analysis of the derivatives of thiadiazole and quinoxaline has been made for antiepileptic activity (pED50) using quantum mechanical and energy descriptors. The descriptors ionization potential, HOMO energy, LUMO energy, electron affinity, total energy, conformation minimum energy and log P have been used for QSAR analysis. The PM3 method has been employed for the calculation of descriptors. The best QSAR model has been obtained by using the descriptors electron affinity, total energy, conformation minimum energy and log P in which regression coefficient is 0.836651 and cross-validation coefficient is 0.761455. Also the single descriptor total energy is able to produce good QSAR model and hence the antiepileptic activity of any compound of the series can be predicted by calculating the value of total energy.
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
Antioxidant Activity of Plant Extracts Containing Phenolic Compounds Synthesis and Characterization of 4-Thiazolidinones Derivatives with 6-Chlorobenzothiazole Moiety Design, Synthesis, in vitro and in silico Study of 5-(Methylthio)-4-(H)-1,2,4-triazole-2-amine and its Derivatives Design, Synthesis and Evaluation of Some Substituted Triazole Phenyl Methanones from Substituted Anilines Application of Gymnema sylvestre Leaves Extract for Iron Nanoparticles Synthesis and Antibacterial Activity Evaluation
×
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