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Computational analysis by molecular docking of thirty alkaloid compounds from medicinal plants as potent inhibitors of SARS-CoV-2 main protease

20202 citationsOpen accessUniversité de Kinshasa (UNIKIN)

Abstract

Abstract 2020 has been highly affected by the COVID-19 outbreak. The urgent needs for a potent and effective drug for treatment of this malignance put pressure on researchers and scientists worldwide to develop potential drug or a vaccine to resist SARS-CoV-2. We report in this paper the assessment of the efficiency of thirty alkaloid compounds derived from African medicinal plants against the SARS-CoV-2 main protease through molecular docking and bioinformatics approaches. The results reveal four potential inhibitors (ligands 18 , 21 , 23 and 24 ) with the highest binding energies up to 12.26 kcal/mol with good profile of ADMET, as well as fully obey the Lipinski’s rule of five.

Research topics

  • Computational Drug Discovery Methods
  • Diverse Scientific Research Studies
  • SARS-CoV-2 and COVID-19 Research

Sustainable Development Goals

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DOI: 10.21203/rs.3.rs-94752/v1

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