选择性环氧化酶 (COX-2) 抑制剂结合模式的 CoMFA/CoMSIA/HQSAR 和对接研究。

Haifeng Chen, Qiang Li, Xiaojun Yao, BoTao Fan, Shengang Yuan, A Panaye, J P Doucet
{"title":"选择性环氧化酶 (COX-2) 抑制剂结合模式的 CoMFA/CoMSIA/HQSAR 和对接研究。","authors":"Haifeng Chen, Qiang Li, Xiaojun Yao, BoTao Fan, Shengang Yuan, A Panaye, J P Doucet","doi":"10.1002/qsar.200330844","DOIUrl":null,"url":null,"abstract":"<p><p>The intermolecular interaction between four types of anti-inflammatory inhibitors (oxazoles, pyrazoles, pyrroles and imidazoles) and COX-2 receptor was studied. The results of docking suggest that they have similar interaction mechanism. The most active compounds of these four types of inhibitors could both form several hydrogen bonds with residues His90, Arg513, Leu352 and Arg120, and develop hydrophobic interaction with residues Phe518, Leu352 and Leu359. This is consistent with the investigation reported by R. G. Kurumbail <i>et al.</i> (<i>Nature.</i> <b>1996</b>, 384, 644-648). A common 3D-QSAR model could be constructed with these four categories of COX-2 inhibitors using the method of docking- guided conformer selection. The cross-validated q<sup>2</sup> values are found as 0.741 and 0.632 for CoMFA and CoMSIA respectively. And the non-cross-validated r<sup>2</sup> values are 0.887 and 0.885. 54 inhibitors constitute the test set used to validate the model. The results show that this model possesses good predictive ability for diverse COX-2 inhibitors. Furthermore, a HQSAR model was used to evaluate the influence of substituents on anti-inflammatory activity. Compared with the results of previous works, our model possesses significantly better prediction ability. It could help us to well understand the interaction mechanism between inhibitors and COX-2 receptor, and to make quantitative prediction of their inhibitory activities.</p>","PeriodicalId":49134,"journal":{"name":"Quantitative Structure-Activity Relationships & Combinatorial Science","volume":"23 1","pages":"36-55"},"PeriodicalIF":0.0000,"publicationDate":"2004-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168538/pdf/QSAR-23-36.pdf","citationCount":"0","resultStr":"{\"title\":\"CoMFA/CoMSIA/HQSAR and Docking Study of the Binding Mode of Selective Cyclooxygenase (COX-2) Inhibitors.\",\"authors\":\"Haifeng Chen, Qiang Li, Xiaojun Yao, BoTao Fan, Shengang Yuan, A Panaye, J P Doucet\",\"doi\":\"10.1002/qsar.200330844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The intermolecular interaction between four types of anti-inflammatory inhibitors (oxazoles, pyrazoles, pyrroles and imidazoles) and COX-2 receptor was studied. The results of docking suggest that they have similar interaction mechanism. The most active compounds of these four types of inhibitors could both form several hydrogen bonds with residues His90, Arg513, Leu352 and Arg120, and develop hydrophobic interaction with residues Phe518, Leu352 and Leu359. This is consistent with the investigation reported by R. G. Kurumbail <i>et al.</i> (<i>Nature.</i> <b>1996</b>, 384, 644-648). A common 3D-QSAR model could be constructed with these four categories of COX-2 inhibitors using the method of docking- guided conformer selection. The cross-validated q<sup>2</sup> values are found as 0.741 and 0.632 for CoMFA and CoMSIA respectively. And the non-cross-validated r<sup>2</sup> values are 0.887 and 0.885. 54 inhibitors constitute the test set used to validate the model. The results show that this model possesses good predictive ability for diverse COX-2 inhibitors. Furthermore, a HQSAR model was used to evaluate the influence of substituents on anti-inflammatory activity. Compared with the results of previous works, our model possesses significantly better prediction ability. It could help us to well understand the interaction mechanism between inhibitors and COX-2 receptor, and to make quantitative prediction of their inhibitory activities.</p>\",\"PeriodicalId\":49134,\"journal\":{\"name\":\"Quantitative Structure-Activity Relationships & Combinatorial Science\",\"volume\":\"23 1\",\"pages\":\"36-55\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168538/pdf/QSAR-23-36.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Structure-Activity Relationships & Combinatorial Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/qsar.200330844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2004/2/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Structure-Activity Relationships & Combinatorial Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/qsar.200330844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2004/2/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究了四种抗炎抑制剂(噁唑类、吡唑类、吡咯类和咪唑类)与 COX-2 受体之间的分子间相互作用。对接结果表明,它们具有相似的相互作用机制。这四类抑制剂中活性最高的化合物既能与残基 His90、Arg513、Leu352 和 Arg120 形成多个氢键,又能与残基 Phe518、Leu352 和 Leu359 发生疏水作用。这与 R. G. Kurumbail 等人的研究报告(Nature.(自然》,1996 年,384 期,644-648 页)。利用对接引导构象选择的方法,可以用这四类 COX-2 抑制剂构建一个通用的三维-QSAR 模型。经交叉验证,CoMFA 和 CoMSIA 的 q2 值分别为 0.741 和 0.632。非交叉验证的 r2 值分别为 0.887 和 0.885。54 种抑制剂构成了用于验证模型的测试集。结果表明,该模型对多种 COX-2 抑制剂具有良好的预测能力。此外,HQSAR 模型还用于评估取代基对抗炎活性的影响。与之前的研究结果相比,我们的模型具有更好的预测能力。它可以帮助我们更好地理解抑制剂与 COX-2 受体之间的相互作用机制,并对其抑制活性进行定量预测。
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
CoMFA/CoMSIA/HQSAR and Docking Study of the Binding Mode of Selective Cyclooxygenase (COX-2) Inhibitors.

The intermolecular interaction between four types of anti-inflammatory inhibitors (oxazoles, pyrazoles, pyrroles and imidazoles) and COX-2 receptor was studied. The results of docking suggest that they have similar interaction mechanism. The most active compounds of these four types of inhibitors could both form several hydrogen bonds with residues His90, Arg513, Leu352 and Arg120, and develop hydrophobic interaction with residues Phe518, Leu352 and Leu359. This is consistent with the investigation reported by R. G. Kurumbail et al. (Nature. 1996, 384, 644-648). A common 3D-QSAR model could be constructed with these four categories of COX-2 inhibitors using the method of docking- guided conformer selection. The cross-validated q2 values are found as 0.741 and 0.632 for CoMFA and CoMSIA respectively. And the non-cross-validated r2 values are 0.887 and 0.885. 54 inhibitors constitute the test set used to validate the model. The results show that this model possesses good predictive ability for diverse COX-2 inhibitors. Furthermore, a HQSAR model was used to evaluate the influence of substituents on anti-inflammatory activity. Compared with the results of previous works, our model possesses significantly better prediction ability. It could help us to well understand the interaction mechanism between inhibitors and COX-2 receptor, and to make quantitative prediction of their inhibitory activities.

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
Refinement and 3D-QSAR Studies of Inhibitors of Cyclophilin A Containing Amide Linker. Literature Highlights in Combinatorial Science: Solid-phase Synthesis. Fluorous 2,4-Dichloro-1,3,5-triazine (F-DCT) as Amide Coupling Agent. Fluorous 2,4-Dichloro-1,3,5-triazines (F-DCTs) as Nucleophile Scavengers. Literature Highlights in Combinatorial Science: QSAR Comb. Sci. 9/2005.
×
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