• 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

使用定量构效关系(QSAR)和对接技术对血管内皮生长因子受体酪氨酸激酶抑制剂进行分子模拟研究。

Molecular modeling studies of vascular endothelial growth factor receptor tyrosine kinase inhibitors using QSAR and docking.

作者信息

Du Juan, Lei Beilei, Qin Jin, Liu Huanxiang, Yao Xiaojun

机构信息

Department of Chemistry, Lanzhou University, Lanzhou, China.

出版信息

J Mol Graph Model. 2009 Jan;27(5):642-54. doi: 10.1016/j.jmgm.2008.10.006. Epub 2008 Nov 5.

DOI:10.1016/j.jmgm.2008.10.006
PMID:19081278
Abstract

The vascular endothelial growth factor (VEGF) and its receptor tyrosine kinases VEGFR-2 or kinase insert domain receptor (KDR) are attractive targets for the development of novel anticancer agents. In the present work, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of selective inhibitors of KDR. Docking studies were performed to explore the binding mode between all of the inhibitors and the KDR and produce the bioactive conformation of each compound in the whole dataset. Two conformer-based alignment strategies were employed to construct reliable 3D-QSAR models. The docked conformer-based alignment strategy gave the best 3D-QSAR models. The best CoMFA and CoMSIA models gave a cross-validated coefficient q(2) of 0.546 and 0.715, non-cross-validated r(2) values of 0.936 and 0.961, predicted r(2) values of 0.673 and 0.797, respectively. The information obtained from molecular modeling studies were very helpful to design some novel selective inhibitors of KDR with desired activity.

摘要

血管内皮生长因子(VEGF)及其受体酪氨酸激酶VEGFR - 2或激酶插入结构域受体(KDR)是新型抗癌药物研发的有吸引力的靶点。在本研究中,对一系列KDR选择性抑制剂进行了比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)。进行对接研究以探索所有抑制剂与KDR之间的结合模式,并生成整个数据集中每种化合物的生物活性构象。采用了两种基于构象异构体的比对策略来构建可靠的3D - QSAR模型。基于对接构象异构体的比对策略给出了最佳的3D - QSAR模型。最佳的CoMFA和CoMSIA模型的交叉验证系数q(2)分别为0.546和0.715,非交叉验证的r(2)值分别为0.936和0.961,预测的r(2)值分别为0.673和0.797。从分子建模研究中获得的信息对于设计一些具有所需活性的新型KDR选择性抑制剂非常有帮助。

相似文献

1
Molecular modeling studies of vascular endothelial growth factor receptor tyrosine kinase inhibitors using QSAR and docking.使用定量构效关系(QSAR)和对接技术对血管内皮生长因子受体酪氨酸激酶抑制剂进行分子模拟研究。
J Mol Graph Model. 2009 Jan;27(5):642-54. doi: 10.1016/j.jmgm.2008.10.006. Epub 2008 Nov 5.
2
Combined 3D-QSAR modeling and molecular docking study on 1,4-dihydroindeno[1,2-c]pyrazoles as VEGFR-2 kinase inhibitors.基于 1,4-二氢茚并[1,2-c]吡唑类 VEGFR-2 激酶抑制剂的三维定量构效关系建模和分子对接研究。
J Mol Graph Model. 2010 Aug 24;29(1):54-71. doi: 10.1016/j.jmgm.2010.04.004. Epub 2010 Apr 24.
3
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.
4
3D QSAR studies on a series of potent and high selective inhibitors for three kinases of RTK family.对一系列针对受体酪氨酸激酶(RTK)家族三种激酶的强效且高选择性抑制剂的三维定量构效关系(3D QSAR)研究。
J Mol Graph Model. 2007 Jul;26(1):236-45. doi: 10.1016/j.jmgm.2006.12.001. Epub 2006 Dec 8.
5
Molecular modeling studies of phenoxypyrimidinyl imidazoles as p38 kinase inhibitors using QSAR and docking.使用定量构效关系(QSAR)和对接技术对作为p38激酶抑制剂的苯氧基嘧啶基咪唑进行分子模拟研究。
Eur J Med Chem. 2008 Apr;43(4):830-8. doi: 10.1016/j.ejmech.2007.06.009. Epub 2007 Jul 6.
6
3D QSAR studies on protein tyrosine phosphatase 1B inhibitors: comparison of the quality and predictivity among 3D QSAR models obtained from different conformer-based alignments.蛋白质酪氨酸磷酸酶1B抑制剂的3D QSAR研究:基于不同构象比对获得的3D QSAR模型之间的质量和预测能力比较。
J Chem Inf Model. 2006 Nov-Dec;46(6):2579-90. doi: 10.1021/ci600224n.
7
Molecular modeling studies of Rho kinase inhibitors using molecular docking and 3D-QSAR analysis.利用分子对接和 3D-QSAR 分析研究 Rho 激酶抑制剂的分子建模。
Eur J Med Chem. 2010 Jul;45(7):2768-76. doi: 10.1016/j.ejmech.2010.02.059. Epub 2010 Mar 4.
8
Mapping the binding site of a large set of quinazoline type EGF-R inhibitors using molecular field analyses and molecular docking studies.利用分子场分析和分子对接研究绘制一大类喹唑啉型表皮生长因子受体(EGF-R)抑制剂的结合位点。
J Chem Inf Comput Sci. 2003 Jan-Feb;43(1):273-87. doi: 10.1021/ci025552a.
9
Pharmacophore modeling and in silico screening for new KDR kinase inhibitors.新型KDR激酶抑制剂的药效团建模与计算机模拟筛选
Bioorg Med Chem Lett. 2007 Apr 15;17(8):2126-33. doi: 10.1016/j.bmcl.2007.01.089. Epub 2007 Feb 2.
10
Molecular docking and 3D QSAR studies on 1-amino-2-phenyl-4-(piperidin-1-yl)-butanes based on the structural modeling of human CCR5 receptor.基于人CCR5受体结构模型对1-氨基-2-苯基-4-(哌啶-1-基)丁烷的分子对接和3D QSAR研究
Bioorg Med Chem. 2004 Dec 1;12(23):6193-208. doi: 10.1016/j.bmc.2004.08.045.

引用本文的文献

1
Advanced modeling of salt-inducible kinase (SIK) inhibitors incorporating protein flexibility through molecular dynamics and cross-docking.通过分子动力学和交叉对接纳入蛋白质柔性的盐诱导激酶(SIK)抑制剂的高级建模。
Sci Rep. 2025 May 29;15(1):18868. doi: 10.1038/s41598-025-03699-w.
2
Cheminfomatic-based Drug Discovery of Human Tyrosine Kinase Inhibitors.基于化学信息学的人类酪氨酸激酶抑制剂药物发现
Curr Top Med Chem. 2016;16(13):1452-62. doi: 10.2174/1568026615666150915120814.
3
Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches.
血管内皮生长因子受体-2(VEGFR-2)抑制剂:通过广泛的基于配体和结构的方法开发和验证预测性三维定量构效关系模型
J Comput Aided Mol Des. 2015 Aug;29(8):757-76. doi: 10.1007/s10822-015-9859-y. Epub 2015 Jul 21.
4
ATP and its N⁶-substituted analogues: parameterization, molecular dynamics simulation and conformational analysis.三磷酸腺苷及其 N⁶-取代类似物:参数化、分子动力学模拟和构象分析。
J Mol Model. 2011 May;17(5):1081-90. doi: 10.1007/s00894-010-0808-3. Epub 2010 Jul 29.