Computational Screening of Toxicity, Drug-like Molecule, and Bioactivity from Green Tea Phytochemical as Antiviral Candidate

https://doi.org/10.24036/sainstek/vol1-iss02/8

Authors

  • Priscilla Listiyani Computational Virology Research Unit, Molecular Biology and Genetics Division, Generasi Biologi Indonesia Foundation, Gresik Indonesia.
  • Santika Lusia Utami Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Dora Dayu Rahma Turista Educational Biology Department, Faculty of Teacher Training and Education, Mulawarman University, Samarinda, Indonesia.
  • Arbi Wiguna Zoology Division, Generasi Biologi Indonesia Foundation, Gresik, Indonesia.
  • Arini Wijayanti Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, United States.
  • Yuanita Rachmawati Department of Biology, Faculty of Science and Technology, UIN Sunan Ampel Surabaya, Surabaya, Indonesia.
  • Alyaa Farrah Dibha Chemistry Department, Faculty of Mathematics and Natural Sciences, Brawijaya University, Malang, Indonesia.
  • Thobib Hasan Department of Biology, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia.
  • Muhammad Aldino Hafidzhah Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life-Sciences, East Jakarta, Indonesia.
  • Renadya Maulani Wijaya Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life-Sciences, East Jakarta, Indonesia.
  • Agus Mohammad Hikam Faculty of Mathematics and Natural Sciences, Universitas Islam Malang, Malang, Indonesia.
  • Ahmad Affan Ali Murtadlo Computational Virology Research Unit, Molecular Biology and Genetics Division, Generasi Biologi Indonesia Foundation, Gresik Indonesia.
  • Muhammad Badrut Tamam Department of Biology, Faculty of Sciences and Technology, Universitas Muhammadiyah Lamongan, Lamongan, Indonesia
  • Sri Wahyuningsih Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  • Nelson Chandra Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life-Sciences, East Jakarta, Indonesia.
  • Sin War Naw Department of Chemistry, Myitkyina University, Myitkyina, Myanmar.

Keywords:

Antiviral, Computational Screening, Bioactivity, Green Tea, Phytochemical

Abstract

Viruses are obligate intracellular parasites because they can infect cells and hijack the gene expression process in host cells for the replication of viral genetic material. The mechanism of the viral life cycle is generally divided into three stages such as viral entry, genome replication, budding, and release. Several viruses can inhibit interferon signaling through the JAK/STAT pathway such as human cytomegalovirus (HCMV), HIV-1, murine hepatitis virus (MHV), severe acute respiratory syndrome coronavirus (SARS-CoV-2), & vaccinia virus (VACV). Antiviral drugs can be developed by studying how viruses evade the immune response, several drugs have been discovered but most of them are synthetic compounds that produce the use effect. Screening of drug candidate compounds can be carried out on a specific natural ingredient such as green tea used in this study. Scientific evidence of compounds from green tea as an antiviral agent is very little, this study is important because it is to screen the potential of compounds from green tea as an antiviral agent through computational approach. Green Tea phytochemical compounds are predicted to be antiviral based on in silico analysis. Antiviral candidate are EGCG, ECG, EGC, EC, & Catechin, they are drug-like molecules and have positive probabilities as antiviral agents.

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Published

2022-12-27

How to Cite

Listiyani, P., Utami, S. L., Turista, D. D. R., Wiguna, A., Wijayanti, A., Rachmawati, Y., Dibha, A. F., Hasan, T., Hafidzhah, M. A., Wijaya, R. M., Hikam, A. M., Murtadlo, A. A. A., Tamam, M. B., Wahyuningsih, S., Chandra, N., & Naw, S. W. (2022). Computational Screening of Toxicity, Drug-like Molecule, and Bioactivity from Green Tea Phytochemical as Antiviral Candidate. SAINSTEK International Journal on Applied Science, Advanced Technology and Informatics, 1(02), 39–45. https://doi.org/10.24036/sainstek/vol1-iss02/8

Issue

Vol. 1 No. 02 (2022): Sainstek: International Journal on Applied Science, Advanced Technology and Informatics

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Articles
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