一些吲哚酰乙酰胺衍生物作为HIV-1结合抑制剂的药效团建模和4D QSAR分析

IF 0.6 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY
Nazmiye Sabanc Nazmiye Sabanc
{"title":"一些吲哚酰乙酰胺衍生物作为HIV-1结合抑制剂的药效团建模和4D QSAR分析","authors":"Nazmiye Sabanc Nazmiye Sabanc","doi":"10.52568/001000/jcsp/44.02.2022","DOIUrl":null,"url":null,"abstract":"The main aim of this study is to uncover the main pharmacophoric features of a series of indole glyoxamide derivatives which are known as HIV-1 attachment inhibitors and to estimate the biological activity to develop a 4D-QSAR model by using the EC-GA method. Conformational analysis and quantum mechanical calculations were accomplished by using the Hartree Fock method with the 3-21G basis set. Based on the data produced from the quantum chemical calculations, the electron conformational matrices of congruity (ECMC)s, as the 3D- arrangement of electronic and geometric properties, were generated by the EMRE program. An individual ECMC was formed for each conformer of each indole glyoxamide derivative in the data set. Conformational flexibility was considered for each compound. Totally 1510 ECMCs were produced by EMRE software to be used in the comparison process. By analogizing the ECMCs in a predetermined tolerance value, the subset of common features matching all active compounds but not matching the low activity compounds was determined. The final ECSA was obtained as a set of nine atoms including predominantly hydrogen bond donors, hydrogen bond acceptors and lipophilic units. Key elements are mainly placed in indole nitrogen, carbonyl groups and piperazine ring. In the bioactivity prediction and variable selection, the genetic algorithm and non-linear least square techniques were employed. The obtained models were internally and externally validated by the leave-one-out cross-validation method. The resulting 4D QSAR EC-GA models were compared with the other methods and the best model with the high prediction ability was defined according to R2training=, R2test =0.8 cross-validatedated q2 =0.860, q2ext1 = 0.850 and q2ext1 = 0.850 values. Attained EC-GA model provides insight into the vital interaction between indole glyoxamide derivatives and the target protein. EC-GA models can be utilized as an effective and confidential tool in the design of more potent indole glyoxamide derivatives.","PeriodicalId":17253,"journal":{"name":"Journal of the chemical society of pakistan","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pharmacophore Modelling and 4D QSAR Analysis of Some Indole Glyoxamide Derivatives as HIV-1 Binding Inhibitors\",\"authors\":\"Nazmiye Sabanc Nazmiye Sabanc\",\"doi\":\"10.52568/001000/jcsp/44.02.2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main aim of this study is to uncover the main pharmacophoric features of a series of indole glyoxamide derivatives which are known as HIV-1 attachment inhibitors and to estimate the biological activity to develop a 4D-QSAR model by using the EC-GA method. Conformational analysis and quantum mechanical calculations were accomplished by using the Hartree Fock method with the 3-21G basis set. Based on the data produced from the quantum chemical calculations, the electron conformational matrices of congruity (ECMC)s, as the 3D- arrangement of electronic and geometric properties, were generated by the EMRE program. An individual ECMC was formed for each conformer of each indole glyoxamide derivative in the data set. Conformational flexibility was considered for each compound. Totally 1510 ECMCs were produced by EMRE software to be used in the comparison process. By analogizing the ECMCs in a predetermined tolerance value, the subset of common features matching all active compounds but not matching the low activity compounds was determined. The final ECSA was obtained as a set of nine atoms including predominantly hydrogen bond donors, hydrogen bond acceptors and lipophilic units. Key elements are mainly placed in indole nitrogen, carbonyl groups and piperazine ring. In the bioactivity prediction and variable selection, the genetic algorithm and non-linear least square techniques were employed. The obtained models were internally and externally validated by the leave-one-out cross-validation method. The resulting 4D QSAR EC-GA models were compared with the other methods and the best model with the high prediction ability was defined according to R2training=, R2test =0.8 cross-validatedated q2 =0.860, q2ext1 = 0.850 and q2ext1 = 0.850 values. Attained EC-GA model provides insight into the vital interaction between indole glyoxamide derivatives and the target protein. EC-GA models can be utilized as an effective and confidential tool in the design of more potent indole glyoxamide derivatives.\",\"PeriodicalId\":17253,\"journal\":{\"name\":\"Journal of the chemical society of pakistan\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the chemical society of pakistan\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.52568/001000/jcsp/44.02.2022\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the chemical society of pakistan","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.52568/001000/jcsp/44.02.2022","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

本研究的主要目的是揭示一系列被称为HIV-1附着抑制剂的吲哚乙氧酰胺衍生物的主要药效特征,并利用EC-GA方法估计其生物活性,以建立4D-QSAR模型。采用Hartree Fock方法,以3-21G基组完成构象分析和量子力学计算。基于量子化学计算得到的数据,用EMRE程序生成了电子同余构象矩阵(ECMC),作为电子和几何性质的三维排列。对数据集中每个吲哚乙氧酰胺衍生物的每个构象形成一个单独的ECMC。考虑了每种化合物的构象柔韧性。EMRE软件共制作了1510个ecmc用于比较过程。通过在预定容差值中模拟ecmc,确定了与所有活性化合物匹配但与低活性化合物不匹配的共同特征子集。最终得到的ECSA由9个原子组成,主要包括氢键给体、氢键受体和亲脂单位。关键元素主要位于吲哚氮、羰基和哌嗪环上。在生物活性预测和变量选择方面,采用了遗传算法和非线性最小二乘技术。采用留一交叉验证法对得到的模型进行了内部和外部验证。将得到的4D QSAR EC-GA模型与其他方法进行比较,并根据R2training=、R2test =0.8交叉验证值q2 =0.860、q2ext1 = 0.850和q2ext1 = 0.850确定预测能力较高的最佳模型。获得的EC-GA模型提供了吲哚乙酰胺衍生物和目标蛋白之间的重要相互作用的洞察力。EC-GA模型可以作为一个有效的和保密的工具,在设计更有效的吲哚乙氧酰胺衍生物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmacophore Modelling and 4D QSAR Analysis of Some Indole Glyoxamide Derivatives as HIV-1 Binding Inhibitors
The main aim of this study is to uncover the main pharmacophoric features of a series of indole glyoxamide derivatives which are known as HIV-1 attachment inhibitors and to estimate the biological activity to develop a 4D-QSAR model by using the EC-GA method. Conformational analysis and quantum mechanical calculations were accomplished by using the Hartree Fock method with the 3-21G basis set. Based on the data produced from the quantum chemical calculations, the electron conformational matrices of congruity (ECMC)s, as the 3D- arrangement of electronic and geometric properties, were generated by the EMRE program. An individual ECMC was formed for each conformer of each indole glyoxamide derivative in the data set. Conformational flexibility was considered for each compound. Totally 1510 ECMCs were produced by EMRE software to be used in the comparison process. By analogizing the ECMCs in a predetermined tolerance value, the subset of common features matching all active compounds but not matching the low activity compounds was determined. The final ECSA was obtained as a set of nine atoms including predominantly hydrogen bond donors, hydrogen bond acceptors and lipophilic units. Key elements are mainly placed in indole nitrogen, carbonyl groups and piperazine ring. In the bioactivity prediction and variable selection, the genetic algorithm and non-linear least square techniques were employed. The obtained models were internally and externally validated by the leave-one-out cross-validation method. The resulting 4D QSAR EC-GA models were compared with the other methods and the best model with the high prediction ability was defined according to R2training=, R2test =0.8 cross-validatedated q2 =0.860, q2ext1 = 0.850 and q2ext1 = 0.850 values. Attained EC-GA model provides insight into the vital interaction between indole glyoxamide derivatives and the target protein. EC-GA models can be utilized as an effective and confidential tool in the design of more potent indole glyoxamide derivatives.
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
CiteScore
1.30
自引率
14.30%
发文量
41
审稿时长
3.4 months
期刊介绍: This journal covers different research areas in the field of Chemistry. These include; Analytical Chemistry, Applied Chemistry, Biochemistry, Environmental Chemistry, Industrial Chemistry, Inorganic Chemistry, Organic Chemistry and Physical Chemistry. The journal publishes full length articles and Reviews from researchers in academia in addition to featuring comments. Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信