Molecular Mechanism of Black Tea (Camellia sinensis) as SARS-CoV-2 Spike Glycoprotein Inhibitor through Computational Approach

https://doi.org/10.24036/sainstek/vol1-iss01/5

Authors

  • Md. Emdad Ullah Department of Chemistry, Mississippi State University, Mississippi State, United States
  • Sin War Naw Department of Chemistry, Myitkyina University, Myitkyina, Myanmar
  • Ahmad Affan Ali Murtadlo Computational Virology Research Unit, Division of Molecular Biology and Genetics, Generasi Biologi Indonesia Foundation, Gresik, Indonesia
  • Muhammad Badrut Tamam Department of Biology, Faculty of Sciences and Technology, Universitas Muhammadiyah Lamongan, Lamongan, Indonesia
  • Rasyadan Taufiq Probojati Department of Agrotechnology, Faculty of Agriculture, Universitas Kadiri, Kediri, Indonesia

Keywords:

Antiviral, Bioinformatics, Camellia sinensis, SARS-CoV-2

Abstract

SARS-CoV-2 infection in humans also causes cytokine storm and can lead to patient death, this condition occurs due to the excessive release of pro-inflammatory cytokines by immune cells. SARS-CoV-2 infects cells in the human respiratory tract. Spike glycoprotein aims to bind to ACE2 in the viral entry process. Several studies have suggested that the SARS-CoV-2 spike is an ideal target for drug design. Camellia sinensis or black tea is a member of the Theaceae family and the genus Camellia. Camellia is a vast genus to East India, the Malay Peninsula, and Southeast Asia, together with Indonesia. In truth, Camellia sinensis is a tropical fruit that has been used as a traditional medicine for hundreds of years globally. This study is to identify the bioactive compounds from Camellia sinensis as an antiviral agent via spike glycoprotein inhibitor mechanisms against the SARS-CoV-2 infection through the in silico approach

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Published

2022-06-09

How to Cite

Md. Emdad Ullah, Sin War Naw, Ahmad Affan Ali Murtadlo, Muhammad Badrut Tamam, & Rasyadan Taufiq Probojati. (2022). Molecular Mechanism of Black Tea (Camellia sinensis) as SARS-CoV-2 Spike Glycoprotein Inhibitor through Computational Approach. SAINSTEK International Journal on Applied Science, Advanced Technology and Informatics, 1(01), 20–25. https://doi.org/10.24036/sainstek/vol1-iss01/5

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