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
  • [21] Pharmacophore-Based 3D-QSAR Studies of Aromatase Inhibitors
    Kishore, Deb Pran
    Rana, Ajay
    Jain, Upendra Kumar
    Rao, P. Mallikarjuna
    ASIAN JOURNAL OF CHEMISTRY, 2013, 25 (18) : 10588 - 10594
  • [22] 3D-QSAR Studies of Arylcarboxamides with Inhibitory Activity on InhA using Pharmacophore-Based Alignment
    Lu, Xiao-Yun
    Chen, Ya-Dong
    You, Qi-Dong
    CHEMICAL BIOLOGY & DRUG DESIGN, 2010, 75 (02) : 195 - 203
  • [23] 3D-QSAR with the aid of pharmacophore search and docking-based alignments for farnesyltransferase inhibitors
    Vaidya, Madhura
    Weigt, Mathias
    Wiese, Michael
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2009, 44 (10) : 4070 - 4082
  • [24] Atom-based 3D QSAR studies on novel N-β-d-xylosylindole derivatives as SGLT2 inhibitors
    Suryanarayanan, Venkatesan
    Sudha, Arumugam
    Rajamanikandan, Sundararaj
    Vanajothi, Ramar
    Srinivasan, Pappu
    MEDICINAL CHEMISTRY RESEARCH, 2013, 22 (02) : 615 - 624
  • [25] In silico accounting of novel pyridazine analogues as h-PTP 1B inhibitors: Pharmacophore modelling, atom-based 3D QSAR and docking studies
    Mahapatra M.K.
    Kumar R.
    Malla P.
    Kumar M.
    Medicinal Chemistry Research, 2014, 23 (6) : 2701 - 2711
  • [26] Pharmacophore generation and atom-based 3D-QSAR of novel 2-(4-methylsulfonylphenyl)pyrimidines as COX-2 inhibitors
    Shah, Ujashkumar A.
    Deokar, Hemantkumar S.
    Kadam, Shivajirao S.
    Kulkarni, Vithal M.
    MOLECULAR DIVERSITY, 2010, 14 (03) : 559 - 568
  • [27] Atom-based 3D-QSAR, molecular docking and molecular dynamics simulation assessment of inhibitors for thyroid hormone receptor α and β
    Gupta, Manish Kumar
    Misra, Krishna
    JOURNAL OF MOLECULAR MODELING, 2014, 20 (06)
  • [28] 3D-QSAR Studies of HDAC6 Inhibitors Using Docking-Based Alignment
    Hu, Chunqi
    Hong, Liang
    Li, Jun
    Du, Wenting
    LETTERS IN DRUG DESIGN & DISCOVERY, 2017, 14 (07) : 798 - 810
  • [29] Atom-based pharmacophore modeling, CoMFA/CoMSIA-based 3D-QSAR studies and lead optimization of DPP-4 inhibitors for the treatment of type 2 diabetes
    Shailesh V. Jain
    Manjunath Ghate
    Medicinal Chemistry Research, 2014, 23 : 3436 - 3450
  • [30] Atom-based pharmacophore modeling, CoMFA/CoMSIA-based 3D-QSAR studies and lead optimization of DPP-4 inhibitors for the treatment of type 2 diabetes
    Jain, Shailesh V.
    Ghate, Manjunath
    MEDICINAL CHEMISTRY RESEARCH, 2014, 23 (07) : 3436 - 3450