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  1. Article ; Online: Molecular Docking and Molecular Dynamics Simulation of Fisetin, Galangin, Hesperetin, Hesperidin, Myricetin, and Naringenin against Polymerase of Dengue Virus

    Jaka Fajar Fatriansyah / Raihan Kenji Rizqillah / Muhammad Yusup Yandi

    Journal of Tropical Medicine, Vol

    2022  Volume 2022

    Abstract: Dengue fever is a disease spread by the DENV virus through mosquitoes. This disease is dangerous because there is no specific drug, vaccine, or antiviral against the DENV virus, insisting on drug discovery for dengue fever. RNA-dependent RNA polymerase ( ... ...

    Abstract Dengue fever is a disease spread by the DENV virus through mosquitoes. This disease is dangerous because there is no specific drug, vaccine, or antiviral against the DENV virus, insisting on drug discovery for dengue fever. RNA-dependent RNA polymerase (RdRp) enzyme in DENV can be a drug target because it has an important role in the virus replication process. In this research, in silico simulations were carried out on bioflavonoid compounds, namely, Fisetin, Galangin, Hesperetin, Hesperidin, Myricetin, and Naringenin with Quercetin as control ligand. QSAR analysis showed that all ligand has the probability to be antiviral and RNA synthesis inhibitor. Docking scores showed that Myricetin, Hesperidin, and Fisetin show strong performance while Hesperidin, Hesperetin, and Naringenin showed strong performance in MM/GBSA. Only Hesperidin showed strong performance in both scorings. Further investigation by ADMET analysis was done to investigate toxicology and pharmacological properties. Our molecular dynamics study through RMSD showed that even though Quercetin does not give good scoring values in both docking score and MM/GBSA, it has robust stable interaction to RdRp. The strong performance of Hesperidin was also validated by protein-ligand contact fraction in 5 ns. Overall, we observed that Hesperidin shows good potential as a DENV-3-RdRp inhibitor in par with Quercetin, although further in vitro study should be conducted.
    Keywords Arctic medicine. Tropical medicine ; RC955-962
    Subject code 540
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Molecular docking and dynamics studies on propolis sulabiroin-A as a potential inhibitor of SARS-CoV-2

    Jaka Fajar Fatriansyah / Raihan Kenji Rizqillah / Muhamad Yusup Yandi / Fadilah / Muhamad Sahlan

    Journal of King Saud University: Science, Vol 34, Iss 1, Pp 101707- (2022)

    2022  

    Abstract: Molecular docking and dynamics simulations were conducted to investigate the antiviral activity of Propolis Sulabiroin-A to inhibit the SARS-CoV-2 virus with quercetin, hesperidin, and remdesivir as control ligands. The parameters calculated were docking ...

    Abstract Molecular docking and dynamics simulations were conducted to investigate the antiviral activity of Propolis Sulabiroin-A to inhibit the SARS-CoV-2 virus with quercetin, hesperidin, and remdesivir as control ligands. The parameters calculated were docking score and binding energy/molecular mechanics-generalized born surface area (MMGBSA), root mean square displacement (RMSD), and root mean square fluctuation (RMSF). Docking and MMGBSA scores showed that all the ligands demonstrate an excellent candidate as an inhibitor, and the order of both scores is hesperidin, remdesivir, quercetin, and sulabiroin-A. The molecular dynamics simulation showed that all the ligands are good candidates as inhibitors. Although the fluctuation of Sulabiroin-A is relatively high, it has less protein–ligand interaction time than other ligands. Overall, there is still a good possibility that sulabiroin-A can be used as an alternative inhibitor if a new structure of receptor SARS-CoV-2 is used.
    Keywords SARS-CoV-2 ; Molecular docking ; Molecular dynamics ; Drug discovery ; Sulabiroin-A ; Science (General) ; Q1-390
    Subject code 541
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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