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In Silico Screening of Novel TMPRSS2 Inhibitors for Treatment of COVID-19.
Wang, Shuo; Fang, Xuexun; Wang, Ye.
  • Wang S; Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, 2699 Qianjin Street, Changchun 130012, China.
  • Fang X; Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, 2699 Qianjin Street, Changchun 130012, China.
  • Wang Y; Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, 2699 Qianjin Street, Changchun 130012, China.
Molecules ; 27(13)2022 Jun 30.
Article in English | MEDLINE | ID: covidwho-1917635
ABSTRACT
COVID-19, a pandemic caused by the virus SARS-CoV-2, has spread globally, necessitating the search for antiviral compounds. Transmembrane protease serine 2 (TMPRSS2) is a cell surface protease that plays an essential role in SARS-CoV-2 infection. Therefore, researchers are searching for TMPRSS2 inhibitors that can be used for the treatment of COVID-19. As such, in this study, based on the crystal structure, we targeted the active site of TMPRSS2 for virtual screening of compounds in the FDA database. Then, we screened lumacaftor and ergotamine, which showed strong binding ability, using 100 ns molecular dynamics simulations to study the stability of the protein-ligand binding process, the flexibility of amino acid residues, and the formation of hydrogen bonds. Subsequently, we calculated the binding free energy of the protein-ligand complex by the MM-PBSA method. The results show that lumacaftor and ergotamine interact with residues around the TMPRSS2 active site, and reached equilibrium in the 100 ns molecular dynamics simulations. We think that lumacaftor and ergotamine, which we screened through in silico studies, can effectively inhibit the activity of TMPRSS2. Our findings provide a basis for subsequent in vitro experiments, having important implications for the development of effective anti-COVID-19 drugs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27134210

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment Limits: Humans Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27134210