Green algae Caulerpa racemosa compounds as antiviral candidates for SARS-CoV-2: In silico study

Authors

  • Asmi CMAR. Tassakka Faculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar, Indonesia https://orcid.org/0000-0001-8967-210X
  • Israini W. Iskandar Postgraduate School of Biomedicine, Universitas Hasanuddin, Makassar, Indonesia https://orcid.org/0000-0001-9079-4147
  • Andi BA. Juniyazaki Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia https://orcid.org/0009-0007-7239-0035
  • St Zaenab Faculty of Fisheries, Universitas Cokroaminoto, Makassar, Indonesia https://orcid.org/0000-0003-2409-1464
  • Jamaluddin F. Alam Faculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar, Indonesia
  • Haerani Rasyid Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
  • Kasmiati Kasmiati Faculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar, Indonesia
  • Ellya Sinurat Indonesia National Research and Innovation Agency, Jakarta, Indonesia
  • Fenny M. Dwiany School of Life Science and Technology, Institute Teknologi Bandung, Bandung, Indonesia
  • Ronni Martien Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Abigail M. Moore Graduate School, Universitas Hasanuddin, Makassar, Indonesia https://orcid.org/0000-0002-4122-3740

DOI:

https://doi.org/10.52225/narra.v3i2.179

Keywords:

Antiviral activity, binding affinity, Caulerpa racemosa, SARS-CoV-2, green algae

Abstract

Green algae (Caulerpa racemosa) are known to contain bioactive compounds which are hypothesized to have antiviral activities against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to analyze the anti-SARS-CoV-2 potential of compounds extracted from the green alga Caulerpa racemosa using in silico analysis. The extract was obtained through maceration with 96% ethanol and the compounds present in the extract were identified through gas chromatography-mass spectroscopy (GC-MS). The binding affinities were analyzed in silico using the PyRx application and visualized in the PyMOL software. GC-MS analysis of Caulerpa racemosa extract showed 92 spectral peaks, each of which was assigned to a bioactive compound. Of the six compounds with a strong binding affinity, n-[1-(1-adamantan-1-yl-propyl)-2,5-dioxo-4-trifluoromethyl-imidazo lidin-4-yl] 4-methoxy-benzamide had the lowest score (-8.1 kcal/mol) against the SARS-CoV-2 3C-like protease binding site, similar with that of remdesivir. The molecular dynamics calculations demonstrated that root means square deviation values of the selected inhibitors remained stable throughout a 15-nanosecond simulation. In conclusion, the in silico analysis suggests that Caulerpa racemosa extract is a potential antiviral candidate against SARS-CoV-2.

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