Literature DB >> 23090418

De novo design of N-(pyridin-4-ylmethyl)aniline derivatives as KDR inhibitors: 3D-QSAR, molecular fragment replacement, protein-ligand interaction fingerprint, and ADMET prediction.

Yanmin Zhang1, Haichun Liu, Yu Jiao, Haoliang Yuan, Fengxiao Wang, Shuai Lu, Sihui Yao, Zhipeng Ke, Wenting Tai, Yulei Jiang, Yadong Chen, Tao Lu.   

Abstract

Vascular endothelial growth factor (VEGF) and its receptor tyrosine kinase VEGFR-2 or kinase insert domain receptor (KDR) have been identified as promising targets for novel anticancer agents. To achieve new potent inhibitors of KDR, we conducted molecular fragment replacement (MFR) studies for the understanding of 3D-QSAR modeling and the docking investigation of arylphthalazines and 2-((1H-Azol-1-yl)methyl)-N-arylbenzamides-based KDR inhibitors. Two favorable 3D-QSAR models (CoMFA with q(2), 0.671; r(2), 0.969; CoMSIA with q(2), 0.608; r(2), 0.936) have been developed to predict the biological activity of new compounds. The new molecular database generated by MFR was virtually screened using Glide (docking) and further evaluated with CoMFA prediction, protein-ligand interaction fingerprint (PLIF) and ADMET analysis. 44 N-(pyridin-4-ylmethyl)aniline derivatives as novel potential KDR inhibitors were finally obtained. In this paper, the work flow developed could be applied to de novo drug design and virtual screening potential KDR inhibitors, and use hit compounds to further optimize and design new potential KDR inhibitors.

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Year:  2012        PMID: 23090418     DOI: 10.1007/s11030-012-9405-y

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  27 in total

1.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

2.  Study of differences in the VEGFR2 inhibitory activities between semaxanib and SU5205 using 3D-QSAR, docking, and molecular dynamics simulations.

Authors:  Camila Muñoz; Francisco Adasme; Jans H Alzate-Morales; Ariela Vergara-Jaque; Torsten Kniess; Julio Caballero
Journal:  J Mol Graph Model       Date:  2011-10-20       Impact factor: 2.518

3.  SHOP: scaffold HOPping by GRID-based similarity searches.

Authors:  Rikke Bergmann; Anna Linusson; Ismael Zamora
Journal:  J Med Chem       Date:  2007-05-10       Impact factor: 7.446

4.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

5.  Molecular docking and 3D-QSAR study on 4-(1H-indazol-4-yl) phenylamino and aminopyrazolopyridine urea derivatives as kinase insert domain receptor (KDR) inhibitors.

Authors:  Xiaoyun Wu; Shuguang Wu; Wen-Hua Chen
Journal:  J Mol Model       Date:  2011-06-22       Impact factor: 1.810

Review 6.  Approval summary: sunitinib for the treatment of imatinib refractory or intolerant gastrointestinal stromal tumors and advanced renal cell carcinoma.

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Journal:  Clin Cancer Res       Date:  2007-03-01       Impact factor: 12.531

Review 7.  Su-11248 Sugen.

Authors:  Kathleen M Sakamoto
Journal:  Curr Opin Investig Drugs       Date:  2004-12

8.  Kinase inhibition with BAY 43-9006 in renal cell carcinoma.

Authors:  Tanya Ahmad; Tim Eisen
Journal:  Clin Cancer Res       Date:  2004-09-15       Impact factor: 12.531

Review 9.  An overview of small-molecule inhibitors of VEGFR signaling.

Authors:  S Percy Ivy; Jeannette Y Wick; Bennett M Kaufman
Journal:  Nat Rev Clin Oncol       Date:  2009-09-08       Impact factor: 66.675

10.  Arylphthalazines as potent, and orally bioavailable inhibitors of VEGFR-2.

Authors:  Matthew A J Duncton; Eugene L Piatnitski Chekler; Reeti Katoch-Rouse; Dan Sherman; Wai C Wong; Leon M Smith; Joel K Kawakami; Alexander S Kiselyov; Daniel L Milligan; Chris Balagtas; Yaron R Hadari; Ying Wang; Sheetal N Patel; Robin L Rolster; James R Tonra; David Surguladze; Stan Mitelman; Paul Kussie; Peter Bohlen; Jacqueline F Doody
Journal:  Bioorg Med Chem       Date:  2008-11-24       Impact factor: 3.641

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  5 in total

1.  Fragment-based strategy for structural optimization in combination with 3D-QSAR.

Authors:  Haoliang Yuan; Wenting Tai; Shihe Hu; Haichun Liu; Yanmin Zhang; Sihui Yao; Ting Ran; Shuai Lu; Zhipeng Ke; Xiao Xiong; Jinxing Xu; Yadong Chen; Tao Lu
Journal:  J Comput Aided Mol Des       Date:  2013-11-01       Impact factor: 3.686

2.  Fragment virtual screening based on Bayesian categorization for discovering novel VEGFR-2 scaffolds.

Authors:  Yanmin Zhang; Yu Jiao; Xiao Xiong; Haichun Liu; Ting Ran; Jinxing Xu; Shuai Lu; Anyang Xu; Jing Pan; Xin Qiao; Zhihao Shi; Tao Lu; Yadong Chen
Journal:  Mol Divers       Date:  2015-05-29       Impact factor: 2.943

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.

Authors:  Rino Ragno; Flavio Ballante; Adele Pirolli; Richard B Wickersham; Alexandros Patsilinakos; Stéphanie Hesse; Enrico Perspicace; Gilbert Kirsch
Journal:  J Comput Aided Mol Des       Date:  2015-07-21       Impact factor: 3.686

4.  Structural modification of 4, 5-dihydro-[1, 2, 4] triazolo [4, 3-f] pteridine derivatives as BRD4 inhibitors using 2D/3D-QSAR and molecular docking analysis.

Authors:  Jian-Bo Tong; Ding Luo; Yi Feng; Shuai Bian; Xing Zhang; Tian-Hao Wang
Journal:  Mol Divers       Date:  2021-01-03       Impact factor: 2.943

5.  Design, Synthesis, Biological Evaluation, and Molecular Modeling of 2-Difluoromethylbenzimidazole Derivatives as Potential PI3Kα Inhibitors.

Authors:  Xiangcong Wang; Moxuan Zhang; Ranran Zhu; Zhongshan Wu; Fanhong Wu; Zhonghua Wang; Yanyan Yu
Journal:  Molecules       Date:  2022-01-08       Impact factor: 4.411

  5 in total

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