• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

计算机辅助 QSAR 研究作为 EGFR 抑制剂的苯胺喹啉类化合物。

In silico QSAR studies of anilinoquinolines as EGFR inhibitors.

机构信息

Computational Science Center, Korea Institute of Science and Technology, Seoul, Korea.

出版信息

J Mol Model. 2010 Feb;16(2):263-77. doi: 10.1007/s00894-009-0534-x. Epub 2009 Jul 10.

DOI:10.1007/s00894-009-0534-x
PMID:19590909
Abstract

Members of the epidermal growth factor receptor (EGFR) family of proteins are frequently overactive in solid tumors. A relatively new therapeutic approach to inhibit the kinase activity is the use of ATP-competitive small molecules. In silico techniques were employed to identify the key interactions between inhibitors and their protein receptors. A series of EGFR inhibitory anilinoquinolines was studied within the framework of hologram quantitative structure activity relationship (HQSAR), density functional theory (DFT)-based QSAR, and three-dimensional (3D) QSAR (CoMFA/CoMSIA). The HQSAR analysis implied that substitutions at certain sites on the inhibitors play an important role in EGFR inhibition. DFT-based QSAR results suggested that steric and electronic interactions contributed significantly to the activity. Ligand-based 3D-QSAR and receptor-guided 3D-QSAR analyses such as CoMFA and CoMSIA techniques were carried out, and the results corroborated the previous two approaches. The 3D QSAR models indicated that steric and hydrophobic interactions are dominant, and that substitution patterns are an important factor in determining activity. Molecular docking was helpful in identifying a bioactive conformer as well as a plausible binding mode. The docked geometry-based CoMFA model with steric and electrostatic fields effect gave q(2) = 0.66, r(2) = 0.94 with r(2) (predictive) = 0.72. Similarly, CoMSIA with hydrophobic field gave q(2) = 0.59, r(2) = 0.85 with r(2) (predictive) = 0.63. Bulky groups around site 3 of ring "C", and hydrophilic and bulky groups at position 6 of ring "A" are desirable, with a hydrophobic and electron-donating group at site 7 of ring "A" being helpful. Accordingly, potential EGFR inhibitors may be designed by modification of known inhibitors.

摘要

表皮生长因子受体(EGFR)家族的蛋白质成员在实体瘤中经常过度活跃。一种抑制激酶活性的相对较新的治疗方法是使用 ATP 竞争性小分子。本文采用计算机技术来确定抑制剂与其蛋白质受体之间的关键相互作用。在全息定量构效关系(HQSAR)、基于密度泛函理论(DFT)的 QSAR 和三维(3D)QSAR(CoMFA/CoMSIA)框架内研究了一系列 EGFR 抑制苯胺喹啉。HQSAR 分析表明,抑制剂上某些位置的取代对 EGFR 抑制起着重要作用。DFT 基于 QSAR 的结果表明,立体和电子相互作用对活性有重要贡献。进行了基于配体的 3D-QSAR 和基于受体的 3D-QSAR 分析,如 CoMFA 和 CoMSIA 技术,结果证实了前两种方法。3D QSAR 模型表明,立体和疏水性相互作用占主导地位,取代模式是决定活性的一个重要因素。分子对接有助于识别生物活性构象和可能的结合模式。基于对接几何的 CoMFA 模型具有立体和静电场效应,q(2) = 0.66,r(2) = 0.94,r(2)(预测)= 0.72。同样,具有疏水场的 CoMSIA 得到 q(2) = 0.59,r(2) = 0.85,r(2)(预测)= 0.63。环“C”第 3 位周围的大基团,环“A”第 6 位的亲水性和大基团,以及环“A”第 7 位的疏水性和供电子基团都是有利的。因此,可以通过修饰已知的抑制剂来设计潜在的 EGFR 抑制剂。

相似文献

1
In silico QSAR studies of anilinoquinolines as EGFR inhibitors.计算机辅助 QSAR 研究作为 EGFR 抑制剂的苯胺喹啉类化合物。
J Mol Model. 2010 Feb;16(2):263-77. doi: 10.1007/s00894-009-0534-x. Epub 2009 Jul 10.
2
CoMFA, CoMSIA and HQSAR Analysis of 3-aryl-3-ethoxypropanoic Acid Derivatives as GPR40 Modulators.作为 GPR40 调节剂的 3-芳基-3-乙氧基丙酸衍生物的 CoMFA、CoMSIA 和 HQSAR 分析。
Curr Drug Discov Technol. 2020;17(1):100-118. doi: 10.2174/1570163815666180829144431.
3
2D and 3D-QSAR analysis of pyrazole-thiazolinone derivatives as EGFR kinase inhibitors by CoMFA and CoMSIA.基于比较分子力场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)的吡唑并噻唑啉酮衍生物作为表皮生长因子受体(EGFR)激酶抑制剂的二维和三维定量构效关系分析
Curr Comput Aided Drug Des. 2015;11(4):292-303. doi: 10.2174/1573409912666151106120058.
4
3D-QSAR and docking studies on 4-anilinoquinazoline and 4-anilinoquinoline epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors.4-苯胺基喹唑啉和4-苯胺基喹啉表皮生长因子受体(EGFR)酪氨酸激酶抑制剂的3D-QSAR及对接研究
J Comput Aided Mol Des. 2003 Aug;17(8):475-93. doi: 10.1023/b:jcam.0000004622.13865.4f.
5
QSAR analyses on avian influenza virus neuraminidase inhibitors using CoMFA, CoMSIA, and HQSAR.使用比较分子场分析(CoMFA)、比较分子相似性指数分析(CoMSIA)和全息定量构效关系(HQSAR)对禽流感病毒神经氨酸酶抑制剂进行定量构效关系分析。
J Comput Aided Mol Des. 2006 Sep;20(9):549-66. doi: 10.1007/s10822-006-9080-0. Epub 2006 Nov 11.
6
Pharmacophore and docking-based combined in-silico study of KDR inhibitors.基于药效团和对接的KDR抑制剂计算机辅助联合研究
J Mol Graph Model. 2009 Aug;28(1):54-61. doi: 10.1016/j.jmgm.2009.04.006. Epub 2009 Apr 19.
7
In silico research on new sulfonamide derivatives as BRD4 inhibitors targeting acute myeloid leukemia using various computational techniques including 3D-QSAR, HQSAR, molecular docking, ADME/Tox, and molecular dynamics.采用包括 3D-QSAR、HQSAR、分子对接、ADME/Tox 和分子动力学在内的各种计算技术,对新型磺胺衍生物作为针对急性髓性白血病的 BRD4 抑制剂进行计算机研究。
J Biomol Struct Dyn. 2024 Oct;42(17):9201-9219. doi: 10.1080/07391102.2023.2250460. Epub 2023 Sep 1.
8
3D QSAR pharmacophore, CoMFA and CoMSIA based design and docking studies on phenyl alkyl ketones as inhibitors of phosphodiesterase 4.基于 3D QSAR 药效团、CoMFA 和 CoMSIA 的设计及对接研究:作为磷酸二酯酶 4 抑制剂的苯烷基酮。
Med Chem. 2012 Sep;8(5):894-912. doi: 10.2174/157340612802084298.
9
QSAR Modeling, Molecular Docking and Molecular Dynamics Simulations Studies of Lysine-Specific Demethylase 1 (LSD1) Inhibitors as Anticancer Agents.赖氨酸特异性去甲基化酶 1(LSD1)抑制剂作为抗癌剂的定量构效关系建模、分子对接和分子动力学模拟研究。
Anticancer Agents Med Chem. 2021;21(8):987-1018. doi: 10.2174/1871520620666200721134010.
10
3D-QSAR and molecular docking studies of 4-anilinoquinazoline derivatives: a rational approach to anticancer drug design.基于 4-苯胺基喹唑啉衍生物的三维定量构效关系和分子对接研究:一种合理的抗癌药物设计方法。
Mol Divers. 2010 Feb;14(1):27-38. doi: 10.1007/s11030-009-9137-9. Epub 2009 Mar 28.

引用本文的文献

1
Modified coptisine derivatives as an inhibitor against pathogenic , (Black Fungus), Monkeypox, and Marburg virus by molecular docking and molecular dynamics simulation-based drug design approach.基于分子对接和分子动力学模拟的药物设计方法,改良黄连碱衍生物作为抗致病性(黑真菌)、猴痘和马尔堡病毒的抑制剂。
Front Pharmacol. 2023 Apr 19;14:1140494. doi: 10.3389/fphar.2023.1140494. eCollection 2023.
2
Quinazoline analogues as cytotoxic agents; QSAR, docking, and studies.喹唑啉类似物作为细胞毒性剂;定量构效关系、对接及研究
Res Pharm Sci. 2021 Aug 19;16(5):528-546. doi: 10.4103/1735-5362.323919. eCollection 2021 Oct.
3
Investigations of Structural Requirements for BRD4 Inhibitors through Ligand- and Structure-Based 3D QSAR Approaches.

本文引用的文献

1
Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.比较分子场分析(CoMFA)。1. 形状对类固醇与载体蛋白结合的影响。
J Am Chem Soc. 1988 Aug 1;110(18):5959-67. doi: 10.1021/ja00226a005.
2
Receptor guided 3D-QSAR: a useful approach for designing of IGF-1R inhibitors.受体导向的3D-QSAR:一种用于设计IGF-1R抑制剂的有用方法。
J Biomed Biotechnol. 2008;2008:837653. doi: 10.1155/2008/837653.
3
Hologram and 3D-quantitative structure toxicity relationship studies of azo dyes.偶氮染料的全息图与三维定量结构毒性关系研究
通过基于配体和结构的 3D QSAR 方法研究 BRD4 抑制剂的结构要求。
Molecules. 2018 Jun 25;23(7):1527. doi: 10.3390/molecules23071527.
4
QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest.基于定量构效关系的随机森林模型用于区分表皮生长因子受体抑制剂和非抑制剂
Biol Direct. 2015 Mar 25;10:10. doi: 10.1186/s13062-015-0046-9.
5
AutoGPA: An Automated 3D-QSAR Method Based on Pharmacophore Alignment and Grid Potential Analysis.自动GPA:一种基于药效团比对和网格势能分析的自动化3D-QSAR方法。
Int J Med Chem. 2012;2012:498931. doi: 10.1155/2012/498931. Epub 2012 Nov 26.
6
QSAR-based models for designing quinazoline/imidazothiazoles/pyrazolopyrimidines based inhibitors against wild and mutant EGFR.基于定量构效关系的模型,用于设计针对野生型和突变型表皮生长因子受体的喹唑啉/咪唑并噻唑/吡唑并嘧啶类抑制剂。
PLoS One. 2014 Jul 3;9(7):e101079. doi: 10.1371/journal.pone.0101079. eCollection 2014.
7
Structure-based ensemble-QSAR model: a novel approach to the study of the EGFR tyrosine kinase and its inhibitors.基于结构的集合定量构效关系模型:研究表皮生长因子受体酪氨酸激酶及其抑制剂的新方法。
Acta Pharmacol Sin. 2014 Feb;35(2):301-10. doi: 10.1038/aps.2013.148. Epub 2013 Dec 16.
8
Identification of potent EGFR inhibitors from TCM Database@Taiwan.从中药数据库(台湾版)中鉴定出有效的 EGFR 抑制剂。
PLoS Comput Biol. 2011 Oct;7(10):e1002189. doi: 10.1371/journal.pcbi.1002189. Epub 2011 Oct 13.
9
Prediction of inhibitory activity of epidermal growth factor receptor inhibitors using grid search-projection pursuit regression method.使用网格搜索-投影寻踪回归方法预测表皮生长因子受体抑制剂的抑制活性。
PLoS One. 2011;6(7):e22367. doi: 10.1371/journal.pone.0022367. Epub 2011 Jul 21.
10
3D-QSAR studies and molecular docking on [5-(4-amino-1H-benzoimidazol-2-yl)-furan-2-yl]-phosphonic acid derivatives as fructose-1,6-biphophatase inhibitors.3D-QSAR 研究及分子对接在 [5-(4-氨基-1H-苯并咪唑-2-基)-呋喃-2-基]-膦酸衍生物作为果糖-1,6-二磷酸酶抑制剂中的应用。
J Comput Aided Mol Des. 2010 Dec;24(12):993-1008. doi: 10.1007/s10822-010-9391-z. Epub 2010 Oct 20.
J Mol Model. 2008 Apr;14(4):293-302. doi: 10.1007/s00894-008-0270-7. Epub 2008 Feb 7.
4
Targeting EGFR and HER-2 receptor tyrosine kinases for cancer drug discovery and development.靶向表皮生长因子受体(EGFR)和人表皮生长因子受体2(HER-2)受体酪氨酸激酶用于癌症药物的发现与开发。
Med Res Rev. 2006 Sep;26(5):569-94. doi: 10.1002/med.20070.
5
3D-QSAR and docking studies on 4-anilinoquinazoline and 4-anilinoquinoline epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors.4-苯胺基喹唑啉和4-苯胺基喹啉表皮生长因子受体(EGFR)酪氨酸激酶抑制剂的3D-QSAR及对接研究
J Comput Aided Mol Des. 2003 Aug;17(8):475-93. doi: 10.1023/b:jcam.0000004622.13865.4f.
6
DFT-based QSAR study of testosterone and its derivatives.
Bioorg Med Chem. 2004 Jan 2;12(1):171-7. doi: 10.1016/j.bmc.2003.11.002.
7
Structure of the epidermal growth factor receptor kinase domain alone and in complex with a 4-anilinoquinazoline inhibitor.单独及与一种4-苯胺基喹唑啉抑制剂结合时的表皮生长因子受体激酶结构域结构。
J Biol Chem. 2002 Nov 29;277(48):46265-72. doi: 10.1074/jbc.M207135200. Epub 2002 Aug 23.
8
Comparative QSAR study of tyrosine kinase inhibitors.
Chem Rev. 2001 Aug;101(8):2573-600. doi: 10.1021/cr010154c.
9
Tyrosine kinase inhibitors. 18. 6-Substituted 4-anilinoquinazolines and 4-anilinopyrido[3,4-d]pyrimidines as soluble, irreversible inhibitors of the epidermal growth factor receptor.酪氨酸激酶抑制剂。18. 6-取代的4-苯胺基喹唑啉和4-苯胺基吡啶并[3,4-d]嘧啶作为表皮生长因子受体的可溶性、不可逆抑制剂。
J Med Chem. 2001 Feb 1;44(3):429-40. doi: 10.1021/jm000372i.
10
Binding mode of the 4-anilinoquinazoline class of protein kinase inhibitor: X-ray crystallographic studies of 4-anilinoquinazolines bound to cyclin-dependent kinase 2 and p38 kinase.4-苯胺基喹唑啉类蛋白激酶抑制剂的结合模式:与细胞周期蛋白依赖性激酶2和p38激酶结合的4-苯胺基喹唑啉的X射线晶体学研究
J Med Chem. 2000 Jan 13;43(1):133-8. doi: 10.1021/jm990401t.