Molecular Dynamics and Free Energy Landscape Study of SARS-CoV-2 Omicron Mpro Boswellic acid Compounds of Boswellia Serrata Inhibitors

被引:1
|
作者
Sandhya, K. S. [1 ]
Arunkumar, B. [1 ]
Shiny, L. P. [2 ]
Nair Achuthsankar, S. [1 ]
机构
[1] Univ Kerala, Dept Computat Biol & Bioinformat, Trivandrum 695581, India
[2] Univ Coll, Dept Chem, Trivandrum 695034, India
来源
CHEMISTRYSELECT | 2023年 / 8卷 / 21期
关键词
Acyclovir; ADME; Docking; MD; Molecular modeling; in silico; RESPIRATORY SYNDROME; GROWTH-PERFORMANCE; RESIN; SUPPLEMENTATION; DIGESTIBILITY; INFECTIONS; PARAMETERS; EXTRACT; BINDING; DIET;
D O I
10.1002/slct.202204231
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This work sheds light on the effect of boswellic acid compounds (Alpha boswellic acid, Beta boswellic acid, 11-keto beta boswellic acid and 3-Acetyl-11-keto beta boswellic acid) upon inhibiting SARS-CoV-2 M-pro and O-M-pro (Main protease). A good docking score (-8.4 kcal/mol) is found in the case of 3-Acetyl-11-keto beta boswellic acid as compared to the reference and three other boswellic acid compounds. ADMET results suggest that all these compounds are nontoxic and their pharmacokinetic properties are satisfactory. Moreover, a stability analysis with M-pro/O-M-pro through RMSD, RMSF, hydrogen bonds and Rg parameters in MD simulations is made and we found better values than the reference case. Pre and post-MD structures of Ligands-M-pro show a similar binding site whereas a drift can be noted for L-O-M-pro. 3-Acetyl-11-keto beta boswellic acid shows an average of five hydrogen bonds and it remains stable within the binding pocket of M-pro during the simulation period in comparison to other boswellic acids compounds. Various metastable conformations are observed for all compounds in FEL (free energy landscape), however, Acyclovir-M-pro, Alpha boswellic acid-M-pro and Beta boswellic acid-O-M-pro display only one global minimum. The results suggest that these compounds can be used as potential lead molecules for breakthroughs in drug discovery.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Discovery of Potential SARS-CoV-2 M Protease Inhibitors by Virtual Screening, Molecular Dynamics, and Binding Free Energy Analyses
    He Qing-Xiu
    Li Guang-Ping
    Guo Hai-Qiong
    Wang Yu-Xuan
    Chu Han
    Hu Yong
    Shen Yan
    Lin Zhi-Hua
    Wang Yuan-Qiang
    CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2021, 40 (04) : 431 - 442
  • [42] SAR, Molecular Docking and Molecular Dynamic Simulation of Natural Inhibitors against SARS-CoV-2 Mpro Spike Protein
    Salamat, Aqsa
    Kosar, Naveen
    Mohyuddin, Ayesha
    Imran, Muhammad
    Zahid, Muhammad Nauman
    Mahmood, Tariq
    MOLECULES, 2024, 29 (05):
  • [43] In silico screening and molecular dynamics of phytochemicals from Indian cuisine against SARS-CoV-2 MPro
    Rajendran, Mala
    Roy, Sudeep
    Ravichandran, Keerthana
    Mishra, Bagdevi
    Gupta, Deepak K.
    Nagarajan, Subash
    Arul Selvaraj, Ruby Celsia
    Provaznik, Ivo
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (07): : 3155 - 3169
  • [44] Machine learning combines atomistic simulations to predict SARS-CoV-2 Mpro inhibitors from natural compounds
    Trung Hai Nguyen
    Quynh Mai Thai
    Minh Quan Pham
    Pham Thi Hong Minh
    Huong Thi Thu Phung
    Molecular Diversity, 2024, 28 : 553 - 561
  • [45] Interaction of panduratin A and derivatives with the SARS-CoV-2 main protease (mpro): a molecular docking study
    Vergoten, Gerard
    Bailly, Christian
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (14): : 6834 - 6844
  • [46] SARS-CoV-2 Main Protease: A Molecular Dynamics Study
    Suarez, Dimas
    Diaz, Natalia
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (12) : 5815 - 5831
  • [47] Identification of Food Compounds as inhibitors of SARS-CoV-2 main protease using molecular docking and molecular dynamics simulations
    Masand, Vijay H.
    Sk, Md Fulbabu
    Kar, Parimal
    Rastija, Vesna
    Zaki, Magdi E. A.
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 217
  • [48] Anticoagulants as Potential SARS-CoV-2 Mpro Inhibitors for COVID-19 Patients: In Vitro, Molecular Docking, Molecular Dynamics, DFT, and SAR Studies
    Elmaaty, Ayman Abo
    Eldehna, Wagdy M.
    Khattab, Muhammad
    Kutkat, Omnia
    Alnajjar, Radwan
    El-Taweel, Ahmed N.
    Al-Rashood, Sara T.
    Abourehab, Mohammed A. S.
    Binjubair, Faizah A.
    Saleh, Mohamed A.
    Belal, Amany
    Al-Karmalawy, Ahmed A.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (20)
  • [49] Computational Assessment of Clinical Drugs against SARS-CoV-2: Foreseeing Molecular Mechanisms and Potent Mpro Inhibitors
    Panda, Saroj Kumar
    Pani, Pratyush
    Sen Gupta, Parth Sarthi
    Mahanandia, Nimai
    Rana, Malay Kumar
    CHEMPHYSCHEM, 2025, 26 (02)
  • [50] Designing Potential Inhibitors of SARS-CoV-2 Mpro Using Deep Learning and Steered Molecular Dynamic Simulations
    Tam, Nguyen Minh
    Tran, Linh Hoang
    Vo, Quan V. V.
    Pham, Minh Quan
    Phung, Huong Thi Thu
    JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, 2023, 22 (05): : 525 - 540