Design and development of novel spiro-oxindoles as potent antiproliferative agents using quantitative structure activity based Monte Carlo method, docking molecular, molecular dynamics, free energy calculations, and pharmacokinetics/toxicity studies

被引:18
|
作者
Tabti, Kamal [1 ]
Abdessadak, Oumayma [1 ]
Sbai, Abdelouahid [1 ]
Maghat, Hamid [1 ]
Bouachrine, Mohammed [1 ,2 ]
Lakhlifi, Tahar [1 ]
机构
[1] Moulay Ismail Univ, Fac Sci, Mol Chem & Nat Subst Lab, Meknes, Morocco
[2] Sultan Moulay Sliman Univ, High Sch Technol Khenifra, Benimellal, Morocco
关键词
QSAR; Monte Carlo; Spiro-oxindoles; Docking; MD simulations; PYRROLIDINE DERIVATIVES; AQUATIC TOXICITY; INDOLE ALKALOIDS; CANCER-CELL; QSAR; INHIBITORS; PREDICTION; MODEL; GRAPH; MITRAPHYLLINE;
D O I
10.1016/j.molstruc.2023.135404
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
In this study, the Monte Carlo method was applied for quantitative structure-activity relationship of novel steroidal spiro-oxindoles as potent antiproliferative inhibitors against human breast cancer. The informa-tions derived from these models assist in the identification of the molecular fragments responsible for the increase and decrease in activity. The absorption, distribution, metabolism, excretion, and toxicity were predicted to help in drug development. Doxorubicin as a control, the best newly designed ligand P1, and compound 25 most active were docked in the binding site at three target receptor tyrosine kinases for behavior final assessment of the inhibitors studied, and also to determine the most selective receptor for our ligands. The results showed the good positioning of the designed ligands in the binding site of three target of crystal structure of epidermal growth factor receptors kinase (2J5F, 5GTY and 3IKA). Molecular dynamic simulations and free binding energy calculation were performed on two best target proteins. The results showed the good stability of the compounds and especially the P1 ligand and the role of van der waals interaction and electrostatics in the stability of the studied ligands. These results open several possibilities to develop new and more potent inhibitors against breast cancer. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:18
相关论文
共 10 条
  • [1] Molecular modelling of antiproliferative inhibitors based on SMILES descriptors using Monte-Carlo method, docking, MD simulations and ADME/Tox studies
    Tabti, Kamal
    Elmchichi, Larbi
    Sbai, Abdelouahid
    Maghat, Hamid
    Bouachrine, Mohammed
    Lakhlifi, Tahar
    MOLECULAR SIMULATION, 2022, 48 (17) : 1575 - 1591
  • [2] Design of antimalarial agents based on pyrimidine derivatives as methionine aminopeptidase 1b inhibitor: Molecular docking, quantitative structure activity relationships, and molecular dynamics simulation studies
    Iman, Maryam
    Davood, Asghar
    Khamesipour, Ali
    JOURNAL OF THE CHINESE CHEMICAL SOCIETY, 2020, 67 (05) : 880 - 890
  • [3] STRUCTURE-ACTIVITY RELATIONSHIPS AND MOLECULAR DOCKING STUDIES OF CHROMENE AND CHROMENE BASED AZO CHROMOPHORES: A NOVEL SERIES OF POTENT ANTIMICROBIAL AND ANTICANCER AGENTS
    Afifi, Tarek H.
    Okasha, Rawda M.
    Ahmed, Hany E. A.
    Ilas, Janez
    Saleh, Tarek
    Abd-El-Aziz, Alaa S.
    EXCLI JOURNAL, 2017, 16 : 868 - 902
  • [4] FREE-ENERGY CALCULATIONS FOR LENNARD-JONES SYSTEMS AND WATER USING THE EXPANDED ENSEMBLE METHOD - A MONTE-CARLO AND MOLECULAR-DYNAMICS SIMULATION STUDY
    LYUBARTSEV, AP
    LAAKSONEN, A
    VORONTSOVVELYAMINOV, PN
    MOLECULAR PHYSICS, 1994, 82 (03) : 455 - 471
  • [5] Novel Quantitative Structure-Activity Studies of HIV-1 Protease Inhibitors of the Cyclic Urea Type Using Descriptors Derived from Molecular Dynamics and Molecular Orbital Calculations
    Yoshida, Tatsusada
    Fujita, Toshio
    Chuman, Hiroshi
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2009, 5 (01) : 38 - 55
  • [6] Computational investigation of potent inhibitors against SARS-CoV-2 2'-O-methyltransferase (nsp16): Structure-based pharmacophore modeling, molecular docking, molecular dynamics simulations and binding free energy calculations
    Shi, Liying
    Wen, Zeyu
    Song, Yu
    Wang, Jian
    Yu, Dayong
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2022, 117
  • [7] Three-dimensional quantitative structure–activity relationship (3D-QSAR) analysis and molecular docking-based combined in silico rational approach to design potent and novel TRPV1 antagonists
    Kamlendra Singh Bhadoriya
    Mukesh C. Sharma
    Shailesh V. Jain
    Ganesh S. Raut
    Jyotsna R. Rananaware
    Medicinal Chemistry Research, 2013, 22 : 2312 - 2327
  • [8] Three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis and molecular docking-based combined in silico rational approach to design potent and novel TRPV1 antagonists
    Bhadoriya, Kamlendra Singh
    Sharma, Mukesh C.
    Jain, Shailesh V.
    Raut, Ganesh S.
    Rananaware, Jyotsna R.
    MEDICINAL CHEMISTRY RESEARCH, 2013, 22 (05) : 2312 - 2327
  • [9] DMF-DMA catalyzed Synthesis, molecular docking, in-vitro, in-silico design, and binding free energy studies of novel thiohydantoin derivatives as antioxidant and antiproliferative agents targeting EGFR tyrosine kinase and aromatase cytochrome P450 enzyme
    Seliem, Israa A.
    BIOORGANIC CHEMISTRY, 2024, 150
  • [10] The Discovery of Novel Histone Lysine Methyltransferase G9a Inhibitors (Part 1): Molecular Design Based on a Series of Substituted 2,4-Diamino-7-aminoalkoxyquinazoline by Molecular-Docking-Guided 3D Quantitative Structure-Activity Relationship Studies
    Feng, Taotao
    Wang, Hai
    Zhang, Xiaojin
    Sun, Haopeng
    You, Qidong
    MEDICINAL CHEMISTRY, 2014, 10 (04) : 426 - 440