Discovery of FIXa inhibitors by combination of pharmacophore modeling, molecular docking, and 3D-QSAR modeling

被引:7
|
作者
Li, Penghua [1 ]
Peng, Jiale [1 ]
Zhou, Yeheng [1 ]
Li, Yaping [1 ]
Liu, XingYong [1 ]
Wang, LiangLiang [2 ,3 ]
Zuo, ZhiLi [2 ,3 ]
机构
[1] Sichuan Univ Sci & Engn, Sch Chem Engn, Zigong, Peoples R China
[2] Chinese Acad Sci, Kunming Inst Bot, State Key Lab Phytochem & Plant Resources West Ch, Kunming, Yunnan, Peoples R China
[3] Yunnan Key Lab Nat Med Chem, Kunming, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Pharmacophore; molecular docking; 3D-QSAR; FIXa; antithrombotic; FACTOR IXA INHIBITORS; ANTICOAGULANTS; POTENT; DERIVATIVES; IDENTIFICATION; SIMULATION; THROMBOSIS; ALIGNMENT; BINDING; KINASE;
D O I
10.1080/10799893.2018.1468784
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Human Coagulation Factor IXa (FIXa), specifically inhibited at the initiation stage of the blood coagulation cascade, is an excellent target for developing selective and safe anticoagulants. To explore this inhibitory mechanism, 86 FIXa inhibitors were selected to generate pharmacophore models and subsequently SAR models. Both best pharmacophore model and ROC curve were built through the Receptor-Ligand Pharmacophore Generation module. CoMFA model based on molecular docking and PLS factor analysis methods were developed. Model propagations values are q(2) = 0.709, r(2) = 0.949, and r(pred)(2) = 0.905. The satisfactory q(value)(2) of 0.609, r(value)(2) of 0.962, and rpred(2 )value of 0.819 for CoMSIA indicated that the CoMFA and CoMSIA models are both available to predict the inhibitory activity on FIXa. On the basis of pharmacophore modeling, molecular docking, and 3D-QSAR modeling screening, six molecules are screened as potential FIXa inhibitors.
引用
收藏
页码:213 / 224
页数:12
相关论文
共 50 条
  • [1] Combined Pharmacophore Modeling, Docking, and 3D-QSAR Studies of PLK1 Inhibitors
    Lu, Shuai
    Liu, Hai-Chun
    Chen, Ya-Dong
    Yuan, Hao-Liang
    Sun, Shan-Liang
    Gao, Yi-Ping
    Yang, Pei
    Zhang, Liang
    Lu, Tao
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2011, 12 (12): : 8713 - 8739
  • [2] Pharmacophore modeling, 3D-QSAR, docking and ADME prediction of quinazoline based EGFR inhibitors
    Verma, Garima
    Khan, Mohemmed Faraz
    Akhtar, Wasim
    Alam, Mohammad Mumtaz
    Akhter, Mymoona
    Alam, Ozair
    Hasan, Syed Misbahul
    Shaquiquzzaman, Mohammad
    ARABIAN JOURNAL OF CHEMISTRY, 2019, 12 (08) : 4815 - 4839
  • [3] Combined Pharmacophore Modeling, 3D-QSAR, Homology Modeling and Docking Studies on CYP11B1 Inhibitors
    Yu, Rui
    Wang, Juan
    Wang, Rui
    Lin, Yong
    Hu, Yong
    Wang, Yuanqiang
    Shu, Mao
    Lin, Zhihua
    MOLECULES, 2015, 20 (01) : 1014 - 1030
  • [4] Combined pharmacophore modeling, 3D-QSAR and docking studies to identify novel HDAC inhibitors using drug repurposing
    Liu, Jian
    Zhu, Yehua
    He, Yufang
    Zhu, Haohao
    Gao, Yi
    Li, Zhi
    Zhu, Junru
    Sun, Xinjie
    Fang, Fang
    Wen, Hongmei
    Li, Wei
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (02) : 533 - 547
  • [5] The discovery of potential cyclin A/CDK2 inhibitors: a combination of 3D QSAR pharmacophore modeling, virtual screening, and molecular docking studies
    Ece, Abdulilah
    Sevin, Fatma
    MEDICINAL CHEMISTRY RESEARCH, 2013, 22 (12) : 5832 - 5843
  • [6] Molecular modelling on small molecular CDK2 inhibitors: an integrated approach using a combination of molecular docking, 3D-QSAR and pharmacophore modelling
    Yuan, H.
    Liu, H.
    Tai, W.
    Wang, F.
    Zhang, Y.
    Yao, S.
    Ran, T.
    Lu, S.
    Ke, Z.
    Xiong, X.
    Xu, J.
    Chen, Y.
    Lu, T.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2013, 24 (10) : 795 - 817
  • [7] A Combination of 3D-QSAR Modeling and Molecular Docking Approach for the Discovery of Potential HIF Prolyl Hydroxylase Inhibitors
    Teli, Mahesh Kumar
    Krishnamurthy, Rajanikant Golgodu
    MEDICINAL CHEMISTRY, 2013, 9 (03) : 360 - 370
  • [8] In silico studies on potential MCF-7 inhibitors: a combination of pharmacophore and 3D-QSAR modeling, virtual screening, molecular docking, and pharmacokinetic analysis
    Badhani, Bharti
    Kakkar, Rita
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2017, 35 (09) : 1950 - 1967
  • [9] Pharmacophore modeling, 3D-QSAR, and molecular docking study on naphthyridine derivatives as inhibitors of 3-phosphoinositide-dependent protein kinase-1
    Kirubakaran, Palani
    Muthusamy, Karthikeyan
    Singh, Kh Dhanachandra
    Nagamani, Selvaraman
    MEDICINAL CHEMISTRY RESEARCH, 2013, 22 (08) : 3812 - 3822
  • [10] Pharmacophore-Based 3D-QSAR Modeling, Virtual Screening and Molecular Docking Analysis for the Detection of MERTK Inhibitors with Novel Scaffold
    Zhou, Suwen
    Zhou, Lu
    Cui, Ruguo
    Tian, Yahui
    Li, Xiaoli
    You, Rong
    Zhong, Liangliang
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2016, 19 (01) : 73 - 96