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
  • [21] AutoGPA-Based 3D-QSAR Modeling and Molecular Docking Study on Factor Xa Inhibitors as Anticoagulant Agents
    Guo, Fang Yuan
    Yan, Qing Yin
    Lin, Keni
    Hong, Wei Yong
    Yang, Gen Sheng
    2016 INTERNATIONAL CONFERENCE ON ELECTRONIC, INFORMATION AND COMPUTER ENGINEERING, 2016, 44
  • [22] 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
  • [23] Combined pharmacophore-guided 3D-QSAR, molecular docking and molecular dynamics studies for evodiamine analogs as DNA topoisomerase I inhibitors
    Feng, Kairui
    Ren, Yujie
    Li, Ren
    JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2017, 78 : 81 - 95
  • [24] Fragment-based discovery of new potential DNMT1 inhibitors integrating multiple pharmacophore modeling, 3D-QSAR, virtual screening, molecular docking, ADME, and molecular dynamics simulation approaches
    Lanka, Goverdhan
    Banerjee, Suvankar
    Adhikari, Nilanjan
    Ghosh, Balaram
    MOLECULAR DIVERSITY, 2025, 29 (01) : 117 - 137
  • [25] Analysis of B-Raf inhibitors using 2D and 3D-QSAR, molecular docking and pharmacophore studies
    Aalizadeh, Reza
    Pourbasheer, Eslam
    Ganjali, Mohammad Reza
    MOLECULAR DIVERSITY, 2015, 19 (04) : 915 - 930
  • [26] Development of pyrrolidine and isoindoline derivatives as new DPP8 inhibitors using a combination of 3D-QSAR technique, pharmacophore modeling, docking studies, and molecular dynamics simulations
    Kaviani, Bita
    Samani, Mojtaba Asad
    Haghshenas, Hamed
    Dehkordi, Marzieh Ghani
    MOLECULAR SIMULATION, 2023, 49 (01) : 85 - 98
  • [27] Structural Optimization for 4-hydroxyphenylpyruvate Dioxygenase Inhibitors Based on 3D-QSAR, Molecular Docking, SBP Modeling and MOLCAD Studies
    He, Jiaqin
    Zhang, Mei
    Chen, Keying
    Wang, Xiaomeng
    Wang, Juan
    Lin, Zhihua
    LETTERS IN DRUG DESIGN & DISCOVERY, 2023, 20 (12) : 1922 - 1935
  • [28] The discovery of potential cyclin A/CDK2 inhibitors: a combination of 3D QSAR pharmacophore modeling, virtual screening, and molecular docking studies
    Abdulilah Ece
    Fatma Sevin
    Medicinal Chemistry Research, 2013, 22 : 5832 - 5843
  • [29] Discovery of promising FtsZ inhibitors by E-pharmacophore, 3D-QSAR, molecular docking study, and molecular dynamics simulation
    Qiu, Yaping
    Zhou, Lu
    Hu, Yanqiu
    Bao, Yinfeng
    JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION, 2019, 39 (02) : 154 - 166
  • [30] Pharmacophore modeling, atom based 3D-QSAR, molecular docking and molecular dynamics studies on Escherichia coli ParE inhibitors
    Azam, Mohammed Afzal
    Thathan, Janarthanan
    Jupudi, Srikanth
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2020, 84