Pharmacophore modeling, virtual screening, and molecular docking studies for discovery of novel Carbonic anhydrase IX inhibitors

被引:0
|
作者
Chun-Lin Lu
Lu Zhou
Zi-Cheng Li
Xiang Gao
Wei Zhang
机构
[1] Sichuan University,Department of Pharmaceutical Engineering, College of Chemical Engineering
来源
关键词
Carbonic anhydrase IX; Cancer; Inhibitor; Pharmacophore modeling; Virtual screening;
D O I
暂无
中图分类号
学科分类号
摘要
Carbonic anhydrase IX (CA IX) is considered as a potential target for cancer therapy. In order to identify new scaffolds compounds and use them for designing novel CA IX inhibitor, herein 3D pharmacophore hypotheses had been established. Hypo 1, the best pharmacophore hypothesis, which had highest cost difference, best correlation coefficient, and lowest root mean square deviation, was validated by test set and Fischer’s randomization methods, and it was used for chemical database virtual screening. The hit compounds were filtered by Lipinski’s rule of five and ADMET properties. Finally, 100 hits with good estimated activity values were used for docking studies. These hits may act as novel leads for CA IX inhibitors designing.
引用
收藏
页码:3417 / 3427
页数:10
相关论文
共 50 条
  • [41] Identification of potential tumour-associated carbonic anhydrase isozyme IX inhibitors: atom-based 3D-QSAR modelling, pharmacophore-based virtual screening and molecular docking studies
    Kumar, Avinash
    Rathi, Ekta
    Kini, Suvarna G.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (07): : 2156 - 2170
  • [42] Discovery of novel 5α-reductase type II inhibitors by pharmacophore modelling, virtual screening, molecular docking and molecular dynamics simulations
    Wang, Jhih-Lun
    Liu, Hsuan-Liang
    Zhou, Zheng-Li
    Chen, Wei-Hsi
    Ho, Yih
    MOLECULAR SIMULATION, 2015, 41 (04) : 287 - 297
  • [43] A new insight into mushroom tyrosinase inhibitors: docking, pharmacophore-based virtual screening, and molecular modeling studies
    Bagherzadeh, Kowsar
    Talari, Faezeh Shirgahi
    Sharifi, Amirhossein
    Ganjali, Mohammad Reza
    Saboury, Ali Akbar
    Amanlou, Massoud
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2015, 33 (03): : 487 - 501
  • [44] Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer
    Ganji, Mahmoud
    Bakhshi, Shohreh
    Shoari, Alireza
    Cohan, Reza Ahangari
    JOURNAL OF TRANSLATIONAL MEDICINE, 2023, 21 (01)
  • [45] In Silico Exploration of Novel Tubulin Inhibitors: A Combination of Docking and Molecular Dynamics Simulations, Pharmacophore Modeling, and Virtual Screening
    Hadizadeh, Farzin
    Ghodsi, Razieh
    Mirzaei, Salimeh
    Sahebkar, Amirhossein
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2022, 2022
  • [46] Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer
    Mahmoud Ganji
    Shohreh Bakhshi
    Alireza Shoari
    Reza Ahangari Cohan
    Journal of Translational Medicine, 21
  • [47] Pharmacophore modeling, virtual screening, molecular docking and dynamics studies for the discovery of HER2-tyrosine kinase inhibitors: An in-silico approach
    Matada, Gurubasavaraja Swamy Purwarga
    Dhiwar, Prasad Sanjay
    Abbas, Nahid
    Singh, Ekta
    Ghara, Abhishek
    Patil, Rajesh
    Raghavendra, Nulgumnalli Manjunathaiah
    JOURNAL OF MOLECULAR STRUCTURE, 2022, 1257
  • [48] Synthesis of novel bisindolylmethanes: New carbonic anhydrase II inhibitors, docking, and 3D pharmacophore studies
    Imran, Syahrul
    Taha, Muhammad
    Ismail, Nor Hadiani
    Fayyaz, Sharmeen
    Khan, Khalid Mohammed
    Choudhary, Muhammad Iqbal
    BIOORGANIC CHEMISTRY, 2016, 68 : 90 - 104
  • [49] Pharmacophore modelling, virtual screening and molecular docking studies on PLD1 inhibitors
    Behera, D. K.
    Behera, P. M.
    Acharya, L.
    Dixit, A.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2017, 28 (12) : 991 - 1009
  • [50] The Discovery of Potential MDM2 Inhibitors: A Combination of Pharmacophore Modeling, Virtual Screening, Molecular Docking Studies, and in vitro/in vivo Biological Evaluation
    Zhang, Xuelin
    Zhou, Chunqiao
    Yang, Yang
    Liu, Hailin
    Wang, Song
    Ding, Xiaoli
    Wang, Hu
    CHEMMEDCHEM, 2022, 17 (04)