Atom-based QSAR and 3D QSAR using pharmacophore based alignment for discovery of nimesulide-derived SKBR-3 cell line inhibitors

被引:0
|
作者
Arpita Das Choudhury
机构
[1] Assam University,Bioinformatics Centre
[2] Centre for Advanced Scientific Education and Research,undefined
来源
Medicinal Chemistry Research | 2015年 / 24卷
关键词
SKBR-3 inhibitors; Pharmacophore modeling; Atom-based-QSAR; 3DQSAR; CoMFA; CoMSIA;
D O I
暂无
中图分类号
学科分类号
摘要
Growth suppression of many non-COX-2 expressing tumor cells can be exhibited by COX-2 inhibitors, where supplementation of cells with exogenous prostaglandins fails to rescue the cells from growth inhibition. It can, therefore, be speculated that anti-cancer properties of some COX-2 inhibitors may be contributed by the COX-2-independent effects also. Some of the derivatives obtained from certain COX-2 inhibitors which show non-COX-2 inhibitory mechanism have revealed some significant anti-cancer activities. From a COX-2 selective inhibitor nimesulide, an analog JCC76 is derived which is a non-COX-2 active compound and shows inhibition of SKBR-3 breast cancer cell growth. Other JCC76 derived inhibitors also played significant role in SKBR-3 cell inhibition. An analog-based study was done using pharmacophore modeling and 3D-QSAR to provide clues for potential lead compound designing. A five point pharmacophore ADHRR was generated using 39 JCC76-derived SKBR-3 inhibitors. The validated pharmacophore alignment was used for further 3D-QSAR analysis, which presented a good R2 value of 0.562, 0.982, and 0.848 for atom-based QSAR, CoMFA, and CoMSIA model, respectively. All the QSAR models presented good statistical significance and predictivity. The corresponding Q2 values for each model are 0.513, 0.649, and 0.518, respectively. Both the pharmacophore and CoMSIA results displayed that the H-bond donor and acceptor sites are the key structural feature for JCC76-derived non-COX-2-dependent inhibitors with high activity.
引用
收藏
页码:999 / 1012
页数:13
相关论文
共 50 条
  • [31] Pharmacophore generation and atom-based 3D-QSAR of novel 2-(4-methylsulfonylphenyl)pyrimidines as COX-2 inhibitors
    Ujashkumar A. Shah
    Hemantkumar S. Deokar
    Shivajirao S. Kadam
    Vithal M. Kulkarni
    Molecular Diversity, 2010, 14 : 559 - 568
  • [32] Pharmacophore Modeling, Atom based 3D-QSAR and Docking Studies on ADAMTS-5 Inhibitors
    Suganya, Rathi P.
    Kalva, Sukesh
    Saleena, Lilly M.
    BIOSCIENCE, BIOCHEMISTRY AND BIOINFORMATICS, 2011, 5 : 378 - 382
  • [33] Ligand-based pharmacophore filtering, atom based 3D-QSAR, virtual screening and ADME studies for the discovery of potential ck2 inhibitors
    Mohan, A.
    Kirubakaran, R.
    Parray, J. A.
    Sivakumar, R.
    Murugesh, E.
    Govarthanan, M.
    JOURNAL OF MOLECULAR STRUCTURE, 2020, 1205 (1205)
  • [34] Atom-based 3D-QSAR, molecular docking and molecular dynamics simulation assessment of inhibitors for thyroid hormone receptor α and β
    Manish Kumar Gupta
    Krishna Misra
    Journal of Molecular Modeling, 2014, 20
  • [35] Discovery of Camptothecin Based Topoisomerase I Inhibitors: Identification Using an Atom Based 3D-QSAR, Pharmacophore Modeling, Virtual Screening and Molecular Docking Approach
    Dev, Sanal
    Dhaneshwar, Sunil R.
    Mathew, Bijo
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2016, 19 (09) : 752 - 763
  • [36] 3D QSAR Studies, Pharmacophore Modeling and Virtual Screening on a Series of Steroidal Aromatase Inhibitors
    Xie, Huiding
    Qiu, Kaixiong
    Xie, Xiaoguang
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2014, 15 (11): : 20927 - 20947
  • [37] 3D QSAR Pharmacophore, CoMFA and CoMSIA Based Design and Docking Studies on Phenyl Alkyl Ketones as Inhibitors of Phosphodiesterase 4
    Gaurav, Anand
    Singh, Ranjit
    MEDICINAL CHEMISTRY, 2012, 8 (05) : 894 - 912
  • [38] 3D-QSAR study with pharmacophore-based molecular alignment of hydroxamic acid-related phosphinates that are aminopeptidase N inhibitors
    Zhu, Huawei
    Fang, Hao
    Wang, Luyao
    Hu, Wenxiang
    Xu, Wenfang
    DRUG DISCOVERIES AND THERAPEUTICS, 2008, 2 (01): : 52 - 57
  • [39] Design of novel anaplastic lymphoma kinase (ALK) inhibitors based on predictive 3D QSAR models using different alignment strategies
    Vyas, Vivek K.
    Patel, Ajay
    Gupta, Nirzari
    Ghate, Manjunath
    MEDICINAL CHEMISTRY RESEARCH, 2014, 23 (02) : 603 - 617
  • [40] Design of novel anaplastic lymphoma kinase (ALK) inhibitors based on predictive 3D QSAR models using different alignment strategies
    Vivek K. Vyas
    Ajay Patel
    Nirzari Gupta
    Manjunath Ghate
    Medicinal Chemistry Research, 2014, 23 : 603 - 617