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Halogenated Baicalein as a Promising Antiviral Agent toward SARS-CoV-2 Main Protease.
Hengphasatporn, Kowit; Wilasluck, Patcharin; Deetanya, Peerapon; Wangkanont, Kittikhun; Chavasiri, Warinthorn; Visitchanakun, Peerapat; Leelahavanichkul, Asada; Paunrat, Wattamon; Boonyasuppayakorn, Siwaporn; Rungrotmongkol, Thanyada; Hannongbua, Supot; Shigeta, Yasuteru.
  • Hengphasatporn K; Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan.
  • Wilasluck P; Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Deetanya P; Molecular Crop Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Wangkanont K; Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Chavasiri W; Molecular Crop Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Visitchanakun P; Center of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Leelahavanichkul A; Molecular Crop Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Paunrat W; Center of Excellence in Natural Products Chemistry, Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
  • Boonyasuppayakorn S; Translational Research in Inflammation and Immunology Research Unit, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
  • Rungrotmongkol T; Translational Research in Inflammation and Immunology Research Unit, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
  • Hannongbua S; Applied Medical Virology Research Unit, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
  • Shigeta Y; Applied Medical Virology Research Unit, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
J Chem Inf Model ; 62(6): 1498-1509, 2022 03 28.
Article in English | MEDLINE | ID: covidwho-1730247
ABSTRACT
The coronavirus disease pandemic is a constant reminder that global citizens are in imminent danger of exposure to emerging infectious diseases. Therefore, developing a technique for inhibitor discovery is essential for effective drug design. Herein, we proposed fragment molecular orbital (FMO)-based virtual screening to predict the molecular binding energy of potential severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease inhibitors. The integration of quantum mechanical approaches and trajectory analysis from a microsecond molecular dynamics simulation was used to identify potential inhibitors. We identified brominated baicalein as a potent inhibitor of the SARS-CoV-2 main protease and confirmed its inhibitory activity in an in vitro assay. Brominated baicalein did not demonstrate significant toxicity in either in vitro or in vivo studies. The pair interaction energy from FMO-RIMP2/PCM and inhibitory constants based on the protease enzyme assay suggested that the brominated baicalein could be further developed into novel SARS-CoV-2 protease inhibitors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: J Chem Inf Model Journal subject: Medical Informatics / Chemistry Year: 2022 Document Type: Article Affiliation country: Acs.jcim.1c01304

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / COVID-19 Drug Treatment Type of study: Prognostic study Limits: Humans Language: English Journal: J Chem Inf Model Journal subject: Medical Informatics / Chemistry Year: 2022 Document Type: Article Affiliation country: Acs.jcim.1c01304