新型1,8 -萘酰亚胺衍生物作为骨肉瘤dna靶向化疗药物的构效关系研究与设计。

IF 1.9 4区 医学 Q3 CHEMISTRY, MEDICINAL
Zheng Lian, Hongzong Si, Huanling Xia, Honglin Zhai
{"title":"新型1,8 -萘酰亚胺衍生物作为骨肉瘤dna靶向化疗药物的构效关系研究与设计。","authors":"Zheng Lian,&nbsp;Hongzong Si,&nbsp;Huanling Xia,&nbsp;Honglin Zhai","doi":"10.2174/1573406419666230414144825","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>1, 8-naphthimide is a novel tumor inhibitor targeting nuclear DNA, which makes it applicable to the design and development of anti-osteosarcoma drugs.</p><p><strong>Objective: </strong>The aim of this study is to establish a satisfactory model based on 1, 8-naphthimide derivatives that makes reliable prediction as DNA-targeted chemotherapy agents for osteosarcoma.</p><p><strong>Methods: </strong>All compounds are constructed using ChemDraw software and subsequently optimized using Sybyl software. COMSIA method is used to construct QSAR model with the optimized compound in Sybyl software package. A series of new 1, 8-naphthalimide derivatives are designed and their IC<sub>50</sub> values are predicted using the QSAR model. Finally, the newly designed compounds are screened according to IC<sub>50</sub> values, and molecular docking experiments are conducted on the top ten compounds of IC<sub>50</sub>.</p><p><strong>Results: </strong>The COMSIA model shows that q<sup>2</sup> is 0.529 and the optimum number of components is 6. The model has a high r<sup>2</sup> value of 0.993 and a low SEE of 0.033, with the F value and the r<sup>2</sup> predicted to be 495.841 and 0.996 respectively. The statistical results and verification results of the model are satisfactory. In addition, analyzing the contour maps is conducive to finding the structural requirements.</p><p><strong>Conclusion: </strong>The results of this study can provide guidance for medical chemists and other related workers to develop targeted chemotherapy drugs for osteosarcoma.</p>","PeriodicalId":18382,"journal":{"name":"Medicinal Chemistry","volume":"19 9","pages":"906-914"},"PeriodicalIF":1.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tit Structure-activity Relationship Study and Design of Novel 1, 8- Naphthimide Derivatives as Potential DNA-targeting Chemotherapeutic Agents for Osteosarcoma.\",\"authors\":\"Zheng Lian,&nbsp;Hongzong Si,&nbsp;Huanling Xia,&nbsp;Honglin Zhai\",\"doi\":\"10.2174/1573406419666230414144825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>1, 8-naphthimide is a novel tumor inhibitor targeting nuclear DNA, which makes it applicable to the design and development of anti-osteosarcoma drugs.</p><p><strong>Objective: </strong>The aim of this study is to establish a satisfactory model based on 1, 8-naphthimide derivatives that makes reliable prediction as DNA-targeted chemotherapy agents for osteosarcoma.</p><p><strong>Methods: </strong>All compounds are constructed using ChemDraw software and subsequently optimized using Sybyl software. COMSIA method is used to construct QSAR model with the optimized compound in Sybyl software package. A series of new 1, 8-naphthalimide derivatives are designed and their IC<sub>50</sub> values are predicted using the QSAR model. Finally, the newly designed compounds are screened according to IC<sub>50</sub> values, and molecular docking experiments are conducted on the top ten compounds of IC<sub>50</sub>.</p><p><strong>Results: </strong>The COMSIA model shows that q<sup>2</sup> is 0.529 and the optimum number of components is 6. The model has a high r<sup>2</sup> value of 0.993 and a low SEE of 0.033, with the F value and the r<sup>2</sup> predicted to be 495.841 and 0.996 respectively. The statistical results and verification results of the model are satisfactory. In addition, analyzing the contour maps is conducive to finding the structural requirements.</p><p><strong>Conclusion: </strong>The results of this study can provide guidance for medical chemists and other related workers to develop targeted chemotherapy drugs for osteosarcoma.</p>\",\"PeriodicalId\":18382,\"journal\":{\"name\":\"Medicinal Chemistry\",\"volume\":\"19 9\",\"pages\":\"906-914\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicinal Chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/1573406419666230414144825\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicinal Chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/1573406419666230414144825","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:1,8 -萘酰亚胺是一种新型的靶向核DNA的肿瘤抑制剂,可用于抗骨肉瘤药物的设计和开发。目的:建立以1,8 -萘酰亚胺衍生物为基础的预测骨肉瘤dna靶向化疗药物的模型。方法:所有化合物均采用ChemDraw软件构建,并用Sybyl软件进行优化。采用COMSIA方法,在Sybyl软件包中以优化后的化合物构建QSAR模型。设计了一系列新的1,8 -萘酰亚胺衍生物,并利用QSAR模型预测了它们的IC50值。最后根据IC50值对新设计的化合物进行筛选,并对IC50前十位化合物进行分子对接实验。结果:COMSIA模型显示q2 = 0.529,最佳组分数为6。模型高r2值为0.993,低SEE值为0.033,预测F值为495.841,预测r2为0.996。模型的统计结果和验证结果令人满意。此外,分析等高线图有助于找到结构需求。结论:本研究结果可为药物化学家及相关工作人员开发骨肉瘤靶向化疗药物提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tit Structure-activity Relationship Study and Design of Novel 1, 8- Naphthimide Derivatives as Potential DNA-targeting Chemotherapeutic Agents for Osteosarcoma.

Background: 1, 8-naphthimide is a novel tumor inhibitor targeting nuclear DNA, which makes it applicable to the design and development of anti-osteosarcoma drugs.

Objective: The aim of this study is to establish a satisfactory model based on 1, 8-naphthimide derivatives that makes reliable prediction as DNA-targeted chemotherapy agents for osteosarcoma.

Methods: All compounds are constructed using ChemDraw software and subsequently optimized using Sybyl software. COMSIA method is used to construct QSAR model with the optimized compound in Sybyl software package. A series of new 1, 8-naphthalimide derivatives are designed and their IC50 values are predicted using the QSAR model. Finally, the newly designed compounds are screened according to IC50 values, and molecular docking experiments are conducted on the top ten compounds of IC50.

Results: The COMSIA model shows that q2 is 0.529 and the optimum number of components is 6. The model has a high r2 value of 0.993 and a low SEE of 0.033, with the F value and the r2 predicted to be 495.841 and 0.996 respectively. The statistical results and verification results of the model are satisfactory. In addition, analyzing the contour maps is conducive to finding the structural requirements.

Conclusion: The results of this study can provide guidance for medical chemists and other related workers to develop targeted chemotherapy drugs for osteosarcoma.

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
Medicinal Chemistry
Medicinal Chemistry 医学-医药化学
CiteScore
4.30
自引率
4.30%
发文量
109
审稿时长
12 months
期刊介绍: Aims & Scope Medicinal Chemistry a peer-reviewed journal, aims to cover all the latest outstanding developments in medicinal chemistry and rational drug design. The journal publishes original research, mini-review articles and guest edited thematic issues covering recent research and developments in the field. Articles are published rapidly by taking full advantage of Internet technology for both the submission and peer review of manuscripts. Medicinal Chemistry is an essential journal for all involved in drug design and discovery.
×
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