Flavonoids as potential KRAS inhibitors: DFT, molecular docking, molecular dynamics simulation and ADMET analyses

被引:1
|
作者
Prinsa [1 ,2 ]
Saha, Supriyo [2 ]
Bulbul, Md Zahidul Haque [3 ]
Ozeki, Yasuhiro [4 ]
Alamri, Mubarak A. [5 ]
Kawsar, Sarkar M. A. [3 ]
机构
[1] Siddhartha Inst Pharm, Dept Pharmaceut Chem, Near IT Pk, Dehra Dun, Uttarakhand, India
[2] Uttaranchal Univ, Uttaranchal Inst Pharmaceut Sci, Dehra Dun 248007, Uttarakhand, India
[3] Univ Chittagong, Fac Sci, Dept Chem, Lab Carbohydrate & Nucleoside Chem LCNC, Chittagong 4331, Bangladesh
[4] Yokohama City Univ, Grad Sch Nanobio Sci, Yokohama, Kanagawa, Japan
[5] Prince Sattam Bin Abdulaziz Univ, Coll Pharm, Dept Pharmaceut Chem, Al Kharj, Saudi Arabia
关键词
flavonoids; KRAS; molecular docking; MD simulation; ADMET; BINDING AFFINITIES; DERIVATIVES;
D O I
10.1080/10286020.2024.2343821
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
KRAS mutations linked with cancer. Flavonoids were docked against KRAS G12C and G12D receptors. Abyssinone III, alpha naphthoflavone, beta naphthoflavone, abyssinone I, abyssinone II and beta naphthoflavone, genistin, daidzin showed good docking scores against KRAS G12C and G12D receptors, respectively. The MD simulation data revealed that Rg, RMSD, RMSF, and SASA values were within acceptable limits. Alpha and beta naphthoflavone showed good binding energies with KRAS G12C and G12D receptors. DFT and MEP analysis highlighted the nucleophilic and electrophilic zones of best-docked flavonoids. A novel avenue for the control of KRAS G12C and G12D mutations is made possible by flavonoids. [GRAPHICS] .
引用
收藏
页码:955 / 992
页数:38
相关论文
共 50 条
  • [41] A Computational Study on Selected Alkaloids as SARS-CoV-2 Inhibitors: PASS Prediction, Molecular Docking, ADMET Analysis, DFT, and Molecular Dynamics Simulations
    Mortuza, Md. Golam
    Roni, Md Abul Hasan
    Kumer, Ajoy
    Biswas, Suvro
    Abu Saleh, Md.
    Islam, Shirmin
    Sadaf, Samia
    Akther, Fahmida
    BIOCHEMISTRY RESEARCH INTERNATIONAL, 2023, 2023
  • [42] Molecular docking and molecular dynamics simulation analyses of urea with ammoniated and ammoxidized lignin
    Li, Wenzhuo
    Zhang, Song
    Zhao, Yingying
    Huang, Shuaiyu
    Zhao, Jiangshan
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2017, 71 : 58 - 69
  • [43] Discovery of natural MCL1 inhibitors using pharmacophore modelling, QSAR, docking, ADMET, molecular dynamics, and DFT analysis
    Das, Uddalak
    Chanda, Tathagata
    Kumar, Jitendra
    Peter, Anitha
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2025, 117
  • [44] Pharmacophore Modeling, Docking, and Molecular Dynamics Simulation of Flavonoids as Inhibitors of Urokinase-type Plasminogen Activator
    Sari, Bina Lohita
    Ibrahim, Slamet
    Tjahjono, Daryono Hadi
    JOURNAL OF MATHEMATICAL AND FUNDAMENTAL SCIENCES, 2021, 53 (03) : 451 - 465
  • [45] Mechanism and stereoselectivity of epoxidation reaction of a β-himachalene derivative: Insights from DFT, molecular docking, ADMET, and molecular dynamics investigations
    Rossafi, Bouchra
    Outahar, Fatima
    Hammoudan, Imad
    Moumou, Mohamed
    Touti, Rodouan
    Benharref, Ahmed
    Chtita, Samir
    JOURNAL OF MOLECULAR STRUCTURE, 2025, 1320
  • [46] Valencene as a novel potential downregulator of THRB in NSCLC: network pharmacology, molecular docking, molecular dynamics simulation, ADMET analysis, and in vitro analysis
    Pant, Janmejay
    Singh, Lovedeep
    Mittal, Payal
    Kumar, Nitish
    MOLECULAR DIVERSITY, 2024,
  • [47] Molecular modeling and ADMET predictions of flavonoids as prospective aromatase inhibitors
    Gandhi, Karan
    Shaha, Umang
    Patel, Samir
    Patel, Mehul
    Patel, Sandip
    Patel, Ashish
    Patel, Swayamprakash
    Solanki, Nilay
    Shah, Ashish
    Baria, Dharmendra
    INDIAN JOURNAL OF CHEMISTRY, 2022, 61 (02): : 192 - 200
  • [48] In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions
    Hasan, Aso Hameed
    Hussen, Narmin Hamaamin
    Shakya, Sonam
    Jamalis, Joazaizulfazli
    Pratama, Mohammad Rizki Fadhil
    Chander, Subhash
    Kharkwal, Harsha
    Murugesan, Sankaranarayanan
    STRUCTURAL CHEMISTRY, 2022, 33 (05) : 1645 - 1665
  • [49] In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions
    Aso Hameed Hasan
    Narmin Hamaamin Hussen
    Sonam Shakya
    Joazaizulfazli Jamalis
    Mohammad Rizki Fadhil Pratama
    Subhash Chander
    Harsha Kharkwal
    Sankaranarayanan Murugesan
    Structural Chemistry, 2022, 33 : 1645 - 1665
  • [50] Novel thiophene Chalcones-Coumarin as acetylcholinesterase inhibitors: Design, synthesis, biological evaluation, molecular docking, ADMET prediction and molecular dynamics simulation
    Hasan, Aso Hameed
    Murugesan, Sankaranarayanan
    Amran, Syazwani Itri
    Chander, Subhash
    Alanazi, Mohammed M.
    Ben Hadda, Taibi
    Shakya, Sonam
    Pratama, Mohammad Rizki Fadhil
    Das, Basundhara
    Biswas, Subhrajit
    Jamalis, Joazaizulfazli
    BIOORGANIC CHEMISTRY, 2022, 119