In silico identification of potential drug-like molecules against G glycoprotein of Nipah virus by molecular docking, DFT studies, and molecular dynamic simulation

被引:3
|
作者
Naeem, Iqra [1 ]
Mateen, Rana Muhammad [1 ,2 ]
Hassan, Syed Sibtul [1 ]
Tariq, Asma [3 ]
Parveen, Rukhsana [2 ]
Saqib, Muhammad Arif Nadeem [4 ]
Fareed, Muhammad Irfan [1 ]
Hussain, Mureed [1 ]
Afzal, Muhammad Sohail [1 ]
机构
[1] Univ Management & Technol UMT, Sch Sci, Dept Life Sci, C 2, Lahore, Punjab, Pakistan
[2] Univ Punjab, Ctr Appl Mol Biol, Lahore, Pakistan
[3] Univ Punjab, Sch Biochem & Biotechnol, Lahore, Pakistan
[4] Natl Skill Univ, Dept Med Lab Technol, Islamabad, Pakistan
来源
关键词
In-silico; Nipah virus; drug like molecules; molecular docking; G-glycoprotein; molecular dynamic (MD) simulation; SOFTWARE NEWS; HAMSTER MODEL; PROTEIN; CHARMM; GUI; PHOSPHOPROTEIN; ATTACHMENT; STRATEGIES; COMPLEX;
D O I
10.1080/07391102.2022.2115557
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
Nipah virus (NiV) is a novel zoonotic pathogen that belongs to the Paramyxovirus family. The pathogen has infected a number of people in countries like Bangladesh, India, Singapore, and Malaysia with high mortality rates. Although the NiV has been classified as a biosafety level four pathogen (BSL-4), there is no drug approved for treatment against it. In this study, the G glycoprotein of the NiV was chosen as an antiviral target. Based on ADMET criteria, BBB- and BBB + group compounds were screened out of the Gold & platinum Asinex library containing 211620 compounds. After careful evaluation, the selected ligands were then virtually screened to identify the potential inhibitors against the G glycoprotein of the NiV through molecular docking, density functional theory (DFT), and molecular dynamic (MD) simulation studies. In our study we identified 5-(1,3-Benzodioxol-5-yl)-2-[(3-fluorobenzyl)sulfanyl]-5,8-dihydropyrido[2,3-d]pyrimidine-4,7(1H,6H)-dione (from BBB- group) and 7,7-Dimethyl-1-(4-methylphenyl)-3-(4-morpholinylcarbonyl)-7,8-dihydro-2,5(1H,6H)-quinolinedione) (from BBB + group) as potential compounds for the prevention and treatment of NiV related diseases. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:7104 / 7118
页数:15
相关论文
共 50 条
  • [1] In silico Identification of Potential Small Molecules Targeting Six Proteins in Nipah Virus using Molecular Docking, Pharmacophore and Molecular Dynamics Simulation
    John, Arun
    Joy, Amitha
    Padman, Midhila
    Praveena, P.
    LETTERS IN DRUG DESIGN & DISCOVERY, 2023, 20 (05) : 604 - 618
  • [2] Computational Identification of Potential Multitarget Inhibitors of Nipah Virus by Molecular Docking and Molecular Dynamics
    Randhawa, Vinay
    Pathania, Shivalika
    Kumar, Manoj
    MICROORGANISMS, 2022, 10 (06)
  • [3] Molecular docking and dynamics studies for the identification of Nipah virus glycoprotein inhibitors from Indian medicinal plants
    Abhinand, Chandran S.
    Ibrahim, Junaida
    Keshava Prasad, Thottethodi Subrahmanya
    Raju, Rajesh
    Oommen, Oommen V.
    Nair, Achuthsankar S.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (19): : 9211 - 9218
  • [4] In silico identification of potential phytochemical inhibitors for mpox virus: molecular docking, MD simulation, and ADMET studies
    Ghate, Sudeep D.
    Pinto, Larina
    Alva, Shivakiran
    Srinivasa, Mahendra Gowdru
    Vangala, Rajani Kanth
    Naik, Prashantha
    Revanasiddappa, B. C.
    Rao, R. Shyama Prasad
    MOLECULAR DIVERSITY, 2024, 28 (06) : 4067 - 4086
  • [5] Computational identification of drug-like marine natural products as potential RNA polymerase inhibitors against Nipah virus
    Abduljalil, Jameel M.
    Elfiky, Abdo A.
    Sayed, El-Sayed T. A.
    AlKhazindar, Maha M.
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2023, 104
  • [6] In silico identification of cyclosporin derivatives as potential inhibitors for RdRp of rotavirus by molecular docking and molecular dynamic studies
    Sinha, Prashasti
    Yadav, Anil Kumar
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 (10): : 5001 - 5014
  • [7] Identification of Natural Terpenoid Compounds as Potential Inhibitors of Nucleoprotein of Influenza A Virus using in silico Approach: ADMET, Molecular Docking, and Molecular Dynamic Simulation
    Hossain, Md. Saddam
    Ali, Md Mosahaq
    Raj, Prithbay
    Khandocar, Md. Parvez
    Haque, S. M. Jahurul
    Bin Jardan, Yousef A.
    Ibenmoussa, Samir
    Bourhia, Mohammed
    MEDICINAL CHEMISTRY, 2025,
  • [8] Phytochemicals as potential inhibitors for COVID-19 revealed by molecular docking, molecular dynamic simulation and DFT studies
    Vinduja Puthanveedu
    Karuvanthodi Muraleedharan
    Structural Chemistry, 2022, 33 : 1423 - 1443
  • [9] Phytochemicals as potential inhibitors for COVID-19 revealed by molecular docking, molecular dynamic simulation and DFT studies
    Puthanveedu, Vinduja
    Muraleedharan, Karuvanthodi
    STRUCTURAL CHEMISTRY, 2022, 33 (05) : 1423 - 1443
  • [10] Synthesis of Flavonoid/Sulfonamide Hybrid Molecules as Potential Inhibitors of Cholinesterases: In Vitro, Molecular Docking, Molecular Dynamic and DFT Studies
    Oztekin, Aykut
    Stellenboom, Nashia
    CHEMISTRYSELECT, 2024, 9 (34):