In silico identification of potential phytochemical inhibitors for mpox virus: molecular docking, MD simulation, and ADMET studies

被引:2
|
作者
Ghate, Sudeep D. [1 ,2 ]
Pinto, Larina [1 ]
Alva, Shivakiran [1 ]
Srinivasa, Mahendra Gowdru [3 ]
Vangala, Rajani Kanth [4 ]
Naik, Prashantha [5 ]
Revanasiddappa, B. C. [3 ]
Rao, R. Shyama Prasad [1 ,2 ]
机构
[1] NITTE Deemed Univ, Ctr Bioinformat, Mangaluru 575018, India
[2] NITTE Deemed Univ, KS Hegde Med Acad, Cent Res Lab, Mangaluru 575018, India
[3] Nitte Deemed Univ, NGSM Inst Pharmaceut Sci NGSMIPS, Dept Pharmaceut Chem, Mangaluru 575018, India
[4] Neuome Technol Pvt Ltd, Bangalore Bioinnovat Ctr, Inst Appl Res & Innovat, IBAB Campus,Elect City Phase 1, Bangalore 560100, India
[5] Mangalore Univ, Dept Biosci, Mangaluru 574199, India
关键词
Antivirals; Computational drug discovery; Mpox virus; Molecular dynamics; Phytochemicals; VACCINIA VIRUS; ENVELOPE FORMATION; DNA-LIGASE; GENE; DYNAMICS;
D O I
10.1007/s11030-023-10797-2
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
The mpox virus (MPXV), a member of the Poxviridae family, which recently appeared outside of the African continent has emerged as a global threat to public health. Given the scarcity of antiviral treatments for mpox disease, there is a pressing need to identify and develop new therapeutics. We investigated 5715 phytochemicals from 266 species available in IMMPAT database as potential inhibitors for six MPXV targets namely thymidylate kinase (A48R), DNA ligase (A50R), rifampicin resistance protein (D13L), palmytilated EEV membrane protein (F13L), viral core cysteine proteinase (I7L), and DNA polymerase (E9L) using molecular docking. The best-performing phytochemicals were also subjected to molecular dynamics (MD) simulations and in silico ADMET analysis. The top phytochemicals were forsythiaside for A48R, ruberythric acid for A50R, theasinensin F for D13L, theasinensin A for F13L, isocinchophyllamine for I7L, and terchebin for E9L. Interestingly, the binding energies of these potential phytochemical inhibitors were far lower than brincidofovir and tecovirimat, the standard drugs used against MPXV, hinting at better binding properties of the former. These findings may pave the way for developing new MPXV inhibitors based on natural product scaffolds. However, they must be further studied to establish their inhibitory efficacy and toxicity in in vitro and in vivo models.
引用
收藏
页码:4067 / 4086
页数:20
相关论文
共 50 条
  • [1] Potential inhibitory activity of phytoconstituents against black fungus: In silico ADMET, molecular docking and MD simulation studies
    Hussen, Narmin Hamaamin
    Hasan, Aso Hameed
    Jamalis, Joazaizulfazli
    Shakya, Sonam
    Chander, Subhash
    Kharkwal, Harsha
    Murugesan, Sankaranaryanan
    Bastikar, Virupaksha Ajit
    Gupta, Pramodkumar Pyarelal
    COMPUTATIONAL TOXICOLOGY, 2022, 24
  • [2] 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,
  • [3] In-silico evaluation of phytochemicals for vitiligo: ADMET, molecular docking, and MD simulation approaches
    Balkrishna, Acharya
    Dabas, Anurag
    Singh, Netrapal
    Katiyar, Prashant
    Arya, Vedpriya
    Sharma, Dushyant
    NATURAL PRODUCT RESEARCH, 2024,
  • [4] Pharmacophore screening, molecular docking, ADMET prediction and MD simulations for identification of ALK and MEK potential dual inhibitors
    Zhang, Haoran
    Zhang, Lichuan
    Gao, Chenglong
    Yu, Rilei
    Kang, Congmin
    JOURNAL OF MOLECULAR STRUCTURE, 2021, 1245
  • [5] Pharmacophore-based virtual screening, 3D QSAR, Docking, ADMET, and MD simulation studies: An in silico perspective for the identification of new potential HDAC3 inhibitors
    Lanka, Goverdhan
    Begum, Darakhshan
    Banerjee, Suvankar
    Adhikari, Nilanjan
    Yogeeswari, P.
    Ghosh, Balaram
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 166
  • [6] In silico design of novel CDK2 inhibitors through QSAR, ADMET, molecular docking and molecular dynamics simulation studies
    Moussaoui, Mohamed
    Baassi, Mouna
    Baammi, Soukayna
    Soufi, Hatim
    Salah, Mohammed
    Daoud, Rachid
    EL Allali, Achraf
    Belghiti, M. E.
    Belaaouad, Said
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2023, 41 (23): : 13646 - 13662
  • [7] Virtual screening, molecular docking, MD simulation studies, DFT calculations, ADMET, and drug likeness of Diaza-adamantane as potential MAPKERK inhibitors
    Gheidari, Davood
    Mehrdad, Morteza
    Hoseini, Foroozan
    FRONTIERS IN PHARMACOLOGY, 2024, 15
  • [8] In silico ADMET, molecular docking and molecular simulation-based study of glabridin's natural and semisynthetic derivatives as potential tyrosinase inhibitors
    Kumari, Arti
    Kumar, Rakesh
    Sulabh, Gira
    Singh, Pratishtha
    Kumar, Jainendra
    Singh, Vijay Kumar
    Ojha, Krishna Kumar
    ADVANCES IN TRADITIONAL MEDICINE, 2023, 23 (03) : 733 - 751
  • [9] In silico ADMET, molecular docking and molecular simulation-based study of glabridin’s natural and semisynthetic derivatives as potential tyrosinase inhibitors
    Arti Kumari
    Rakesh kumar
    Gira Sulabh
    Pratishtha Singh
    Jainendra Kumar
    Vijay Kumar Singh
    Krishna Kumar Ojha
    Advances in Traditional Medicine, 2023, 23 : 733 - 751
  • [10] 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