Receptor-guided 3D-QSAR Study of Anilinoquinazolines as RET Receptor Tyrosine Kinase Antagonists

被引:2
|
作者
Bhujbal, Swapnil Pandurang [1 ]
Balasubramanian, Pavithra Kuruchi [1 ]
Keretsu, Seketoulie [1 ]
Cho, Seung Joo [1 ,2 ]
机构
[1] Chosun Univ, Coll Med, Dept Biomed Sci, Gwangju 501759, South Korea
[2] Chosun Univ, Coll Med, Dept Cellular Mol Med, Gwangju 501759, South Korea
来源
关键词
RET; Cancer; Docking; CoMFA; CoMSIA; RET kinase antagonists; THYROID-CANCER; INHIBITORS; DOMAIN; PROTOONCOGENE; DERIVATIVES; VALIDATION; MUTATIONS; NEOPLASIA; PATHWAYS; BINDING;
D O I
10.1002/bkcs.11547
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A RET (Rearranged during transfection) kinase belongs to a receptor tyrosine kinase family. It plays a major role in development, maturation, survival, and maintenance of cells and tissues. Oncogenic activation of RET has been reported in numerous cancers. Thus, it is a significant therapeutic target for cancer. Present work covers docking and 3D-QSAR techniques executed on anilinoquinazoline derivatives as RET kinase antagonists. Docking study recognized important active site amino acid residues like Leu730, Gly731, Gly733, Glu734, Ala807, Gly810, Ser811, and Asp874 which inhibits the RET kinase. In 3D-QSAR technique, receptor-guided CoMFA (q(2) = 0.723, NOC = 5, r(2) = 0.980) as well as CoMSIA (q(2) = 0.767, NOC = 6, r(2) = 0.967) models were produced. The stabilities of these models were evaluated using diverse validation techniques. Contour maps showed that steric and hydrogen bond donor substitutions are favored at R-1 and R-2 positions whereas positive and negative substitutions are favored at the R-1 position to enhance the potency. In addition, the substitution of H-bond accepting group to the region which is close to both phenyl and piperazine is favored. Hence, the outcome of this study could be beneficial to design more potent inhibitors for RET kinase.
引用
下载
收藏
页码:207 / 213
页数:7
相关论文
共 50 条
  • [31] 3D-QSAR Studies on the Biological Activity of Imidazolidinylpiperidinyl-benzoic Acids as Chemokine Receptor Antagonists
    Hu, Chunqi
    Li, Tao
    Du, Wenting
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2016, 12 (01) : 42 - 51
  • [32] 3D-QSAR CoMFA and CoMSIA studies on a set of diverse α1a-adrenergic receptor antagonists
    Gupta, Amit K.
    Saxena, Anil K.
    MEDICINAL CHEMISTRY RESEARCH, 2011, 20 (09) : 1455 - 1464
  • [33] Design of New Therapeutic Agents Targeting FLT3 Receptor Tyrosine Kinase Using Molecular Docking and 3D-QSAR Approach
    Bhujbal, Swapnil Pandurang
    Keretsu, Seketoulie
    Cho, Scung Joo
    LETTERS IN DRUG DESIGN & DISCOVERY, 2020, 17 (05) : 585 - 596
  • [34] Receptor guided 3D-QSAR: A useful approach for designing of IGF-1R inhibitors
    Muddassar, M.
    Pasha, F. A.
    Chung, H. W.
    Yoo, K. H.
    Oh, C. H.
    Cho, S. J.
    JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2008,
  • [35] Structure-based 3D-QSAR studies on heteroarylpiperazine derivatives as 5-HT3 receptor antagonists
    Zhou, Ya-Ju
    Zhu, Li-Ping
    Tang, Yun
    Ye, De-Yong
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2007, 42 (07) : 977 - 984
  • [36] 3D-QSAR study of benzodiazepines at five recombinant GABAA/benzodiazepine receptor subtypes
    Lu, AJ
    Liu, B
    Liu, HB
    Zhou, JJ
    ACTA PHYSICO-CHIMICA SINICA, 2004, 20 (05) : 488 - 493
  • [37] Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors
    Wichapong, Kanin
    Lindner, Marc
    Pianwanit, Somsak
    Kokpol, Sirirat
    Sippl, Wolfgang
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2009, 44 (04) : 1383 - 1395
  • [38] Imidazoline receptor ligands -: Molecular modeling and 3D-QSAR CoMFA
    Marot, C
    Baurin, N
    Mérour, JY
    Guillaumet, G
    Renard, P
    Morin-Allory, L
    MOLECULAR MODELING AND PREDICTION OF BIOACTIVITY, 2000, : 349 - 350
  • [39] Molecular Modeling Studies of Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitors Combining Molecular Docking and 3D-QSAR Methods
    Lu Ya-Kuo
    Wang Juan
    Hu Yong
    Lin Yong
    Lin Zhi-Hua
    CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2013, 32 (05) : 679 - 694
  • [40] Molecular Modeling Studies of Vascular Endothelial Growth Factor Receptor Tyrosine Kinase Inhibitors Combining Molecular Docking and 3D-QSAR Methods
    路亚阔
    王娟
    胡勇
    林勇
    林治华
    Chinese Journal of Structural Chemistry, 2013, 32 (05) : 679 - 694