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
  • [41] Multi-step molecular docking and dynamics simulation-based screening of large antiviral specific chemical libraries for identification of Nipah virus glycoprotein inhibitors
    Kalbhor, Malti Sanjay
    Bhowmick, Shovonlal
    Alanazi, Amer M.
    Patil, Pritee Chunarkar
    Islam, Md Ataul
    BIOPHYSICAL CHEMISTRY, 2021, 270
  • [42] In-silico targeting TMPK from monkey pox virus: Molecular docking analysis, density functional theory studies and molecular dynamic simulation analysis
    Shah, Syed Sib Tul Hassan
    Naeem, Iqra
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (24): : 14689 - 14701
  • [43] Tetracyclines as a potential antiviral therapy against Crimean Congo hemorrhagic fever virus: Docking and molecular dynamic studies
    Sharifi, Amirhossein
    Amanlou, Arash
    Moosavi-Movahedi, Faezeh
    Golestanian, Sahand
    Amanlou, Massoud
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 70 : 1 - 6
  • [44] QSAR, DFT studies, docking molecular and simulation dynamic molecular of 2-styrylquinoline derivatives through their anticancer activity
    Zarougui, Sara
    Er-rajy, Mohammed
    Faris, Abdelmoujoud
    Imtara, Hamada
    El Fadili, Mohamed
    Al Kamaly, Omkulthom
    Alshawwa, Samar Zuhair
    Nasr, Fahd A.
    Aloui, Mourad
    Elhallaoui, Menana
    JOURNAL OF SAUDI CHEMICAL SOCIETY, 2023, 27 (06)
  • [45] In silico identification of potential Hsp90 inhibitors via ensemble docking, DFT and molecular dynamics simulations
    Rezvani, Saba
    Ebadi, Ahmad
    Razzaghi-Asl, Nima
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (21): : 10665 - 10676
  • [46] DFT, molecular docking and molecular dynamics simulation studies on some newly introduced natural products for their potential use against SARS-CoV-2
    Erdogan, Taner
    JOURNAL OF MOLECULAR STRUCTURE, 2021, 1242
  • [47] Antiviral Activity, Pharmacoinformatics, Molecular Docking, and Dynamics Studies of Azadirachta indica Against Nipah Virus by Targeting Envelope Glycoprotein: Emerging Strategies for Developing Antiviral Treatment
    Saha, Otun
    Siddiquee, Noimul Hasan
    Akter, Rahima
    Sarker, Nikkon
    Bristi, Uditi Paul
    Sultana, Khandokar Fahmida
    Remon, S. M. Lutfor Rahman
    Sultana, Afroza
    Shishir, Tushar Ahmed
    Rahaman, Md Mizanur
    Ahmed, Firoz
    Hossen, Foysal
    Amin, Mohammad Ruhul
    Akter, Mir Salma
    BIOINFORMATICS AND BIOLOGY INSIGHTS, 2024, 18
  • [48] In Depth in Silico Exploration of Some Natural Indole Alkaloids as Potential Plasmepsin II Inhibitors: ADMET Calculations, Molecular Docking Analysis, Molecular Dynamics Simulation, and DFT Studies
    Reddy, Konatham Teja Kumar
    Arjun, Uppuluri Varuna Naga Venkata
    Alhmoud, Jehad F.
    Reddy, S. Mounika
    Dhillishree, D.
    Tambe, Vishal B.
    Shinde, Ganesh S.
    Shanmugarajan, Thukani Sathanantham
    Dharmamoorthy, G.
    Gobalakriahnan, P.
    CHEMICAL METHODOLOGIES, 2025, 9 (04): : 277 - 300
  • [49] Investigation of Bucillamine as anti-COVID-19 drug: DFT study, molecular docking, molecular dynamic simulation and ADMET analysis
    Huang, Fengwen
    Chen, Chen
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2024, 42 (01): : 34 - 42
  • [50] Nanosheets adsorption and antiviral activity of Favipiravir drug against envelope proteins of yellow fever virus: DFT and molecular docking simulation study
    Albarakati, Roqaya
    Al-Qurashi, Ohoud
    Safi, Zaki
    Wazzan, Nuha
    COMPUTATIONAL AND THEORETICAL CHEMISTRY, 2024, 1238