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Targeting the DENV NS2B-NS3 protease with active antiviral phytocompounds: structure-based virtual screening, molecular docking and molecular dynamics simulation studies.
J Mol Model. 2022 Oct 24; 28(11):365.JM

Abstract

Dengue fever has been a global health concern. Mitigation is a challenging problem due to non-availability of workable treatments. The most difficult objective is to design a perfect anti-dengue agent capable of inhibiting infections caused by all four serotypes. Various tactics have been employed in the past to discover dengue antivirals, including screening of chemical compounds against dengue virus enzymes. The objective of the current study is to investigate phytocompounds as anti-dengue remedies that target the non-structural 2B and non-structural 3 protease (NS2B-NS3pro), a possible therapeutic target for dengue fever. Initially, 300 + antiviral phytocompounds were collected from Duke's phytochemical and ethnobotanical database and 30 phytocompounds with anti-dengue properties were identified from previously reported studies, which were virtually screened against NS2B-NS3pro using molecular docking and toxicity evaluation. The top five most screened ligands were naringin, hesperidin, gossypol, maslinic acid and rhodiolin with binding affinities of - 8.7 kcal/mol, - 8.5 kcal/mol, - 8.5 kcal/mol, - 8.5 kcal/mol and - 8.1 kcal/mol, respectively. The finest docked compounds complexed with NS2B-NS3pro were subjected for molecular dynamics (MD) simulations and binding free energy estimations through molecular mechanics generalized born surface area-based calculations. The results of the study are intriguing in the context of computer-aided screening and the binding affinities of the phytocompounds, proposing maslinic acid (MAS) as a potent bioactive antiviral for the development of phytocompound-based anti-dengue agent.

Authors+Show Affiliations

Computational Biology and Bioinformatics Laboratory, P.G. Department of Botany, Berhampur University, Berhampur, Odisha, 760007, India.Computational Biology and Bioinformatics Laboratory, P.G. Department of Botany, Berhampur University, Berhampur, Odisha, 760007, India.Computational Biology and Bioinformatics Laboratory, P.G. Department of Botany, Berhampur University, Berhampur, Odisha, 760007, India.Computational Biology and Bioinformatics Laboratory, P.G. Department of Botany, Berhampur University, Berhampur, Odisha, 760007, India.Computational Biology and Bioinformatics Laboratory, P.G. Department of Botany, Berhampur University, Berhampur, Odisha, 760007, India. brm.bot@buodisha.edu.in.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

36274116

Citation

Purohit, Priyanka, et al. "Targeting the DENV NS2B-NS3 Protease With Active Antiviral Phytocompounds: Structure-based Virtual Screening, Molecular Docking and Molecular Dynamics Simulation Studies." Journal of Molecular Modeling, vol. 28, no. 11, 2022, p. 365.
Purohit P, Sahoo S, Panda M, et al. Targeting the DENV NS2B-NS3 protease with active antiviral phytocompounds: structure-based virtual screening, molecular docking and molecular dynamics simulation studies. J Mol Model. 2022;28(11):365.
Purohit, P., Sahoo, S., Panda, M., Sahoo, P. S., & Meher, B. R. (2022). Targeting the DENV NS2B-NS3 protease with active antiviral phytocompounds: structure-based virtual screening, molecular docking and molecular dynamics simulation studies. Journal of Molecular Modeling, 28(11), 365. https://doi.org/10.1007/s00894-022-05355-w
Purohit P, et al. Targeting the DENV NS2B-NS3 Protease With Active Antiviral Phytocompounds: Structure-based Virtual Screening, Molecular Docking and Molecular Dynamics Simulation Studies. J Mol Model. 2022 Oct 24;28(11):365. PubMed PMID: 36274116.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Targeting the DENV NS2B-NS3 protease with active antiviral phytocompounds: structure-based virtual screening, molecular docking and molecular dynamics simulation studies. AU - Purohit,Priyanka, AU - Sahoo,Sthitaprajna, AU - Panda,Madhusmita, AU - Sahoo,Partha Sarathi, AU - Meher,Biswa Ranjan, Y1 - 2022/10/24/ PY - 2022/04/13/received PY - 2022/10/11/accepted PY - 2022/10/24/entrez PY - 2022/10/25/pubmed PY - 2022/10/26/medline KW - DENV KW - Docking KW - Drug discovery KW - MM-PBSA KW - Molecular dynamics simulations KW - NS2B-NS3 protease KW - Phytocompounds KW - Virtual screening SP - 365 EP - 365 JF - Journal of molecular modeling JO - J Mol Model VL - 28 IS - 11 N2 - Dengue fever has been a global health concern. Mitigation is a challenging problem due to non-availability of workable treatments. The most difficult objective is to design a perfect anti-dengue agent capable of inhibiting infections caused by all four serotypes. Various tactics have been employed in the past to discover dengue antivirals, including screening of chemical compounds against dengue virus enzymes. The objective of the current study is to investigate phytocompounds as anti-dengue remedies that target the non-structural 2B and non-structural 3 protease (NS2B-NS3pro), a possible therapeutic target for dengue fever. Initially, 300 + antiviral phytocompounds were collected from Duke's phytochemical and ethnobotanical database and 30 phytocompounds with anti-dengue properties were identified from previously reported studies, which were virtually screened against NS2B-NS3pro using molecular docking and toxicity evaluation. The top five most screened ligands were naringin, hesperidin, gossypol, maslinic acid and rhodiolin with binding affinities of - 8.7 kcal/mol, - 8.5 kcal/mol, - 8.5 kcal/mol, - 8.5 kcal/mol and - 8.1 kcal/mol, respectively. The finest docked compounds complexed with NS2B-NS3pro were subjected for molecular dynamics (MD) simulations and binding free energy estimations through molecular mechanics generalized born surface area-based calculations. The results of the study are intriguing in the context of computer-aided screening and the binding affinities of the phytocompounds, proposing maslinic acid (MAS) as a potent bioactive antiviral for the development of phytocompound-based anti-dengue agent. SN - 0948-5023 UR - https://www.unboundmedicine.com/medline/citation/36274116/Targeting_the_DENV_NS2B_NS3_protease_with_active_antiviral_phytocompounds:_structure_based_virtual_screening_molecular_docking_and_molecular_dynamics_simulation_studies_ DB - PRIME DP - Unbound Medicine ER -