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A molecular modelling approach for identifying antiviral selenium-containing heterocyclic compounds that inhibit the main protease of SARS-CoV-2: an in silico investigation.
Rakib, Ahmed; Nain, Zulkar; Sami, Saad Ahmed; Mahmud, Shafi; Islam, Ashiqul; Ahmed, Shahriar; Siddiqui, Adnan Bin Faisul; Babu, S M Omar Faruque; Hossain, Payar; Shahriar, Asif; Nainu, Firzan; Emran, Talha Bin; Simal-Gandara, Jesus.
  • Rakib A; Department of Pharmaceutical Sciences, College of Pharmacy, 881 Madison Ave, Memphis, TN 38163, USA.
  • Nain Z; Department of Biotechnology and Genetic Engineering, Islamic University, Bangladesh.
  • Sami SA; Department of Biotechnology and Genetic Engineering, Islamic University, Bangladesh.
  • Mahmud S; Department of Genetic Engineering and Biotechnology, University of Rajshahi, Bangladesh.
  • Islam A; Department of Pharmacy, Mawlana Bhashani Science and Technology University, Bangladesh.
  • Ahmed S; Department of Pharmacy, University of Chittagong, Bangladesh.
  • Siddiqui ABF; Department of Pharmacy, State University of Bangladesh.
  • Babu SMOF; Department of Fisheries, Noakhali Science and Technology University, Bangladesh.
  • Hossain P; Bachelor of Pharmacy professional degree focused in Pharmacy from University of Chittagong, Bangladesh.
  • Shahriar A; Department of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, USA.
  • Nainu F; Faculty of Pharmacy Universitas Hasanuddin, Indonesia.
  • Emran TB; Department of Pharmacy in BGC Trust University Bangladesh.
  • Simal-Gandara J; Nutrition and Food Science at the University of Vigo (Spain).
Brief Bioinform ; 22(2): 1476-1498, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1352121
ABSTRACT
Coronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been declared a global pandemic by the World Health Organization, and the situation worsens daily, associated with acute increases in case fatality rates. The main protease (Mpro) enzyme produced by SARS-CoV-2 was recently demonstrated to be responsible for not only viral reproduction but also impeding host immune responses. The element selenium (Se) plays a vital role in immune functions, both directly and indirectly. Thus, we hypothesised that Se-containing heterocyclic compounds might curb the activity of SARS-CoV-2 Mpro. We performed a molecular docking analysis and found that several of the selected selenocompounds showed potential binding affinities for SARS-CoV-2 Mpro, especially ethaselen (49), which exhibited a docking score of -6.7 kcal/mol compared with the -6.5 kcal/mol score for GC376 (positive control). Drug-likeness calculations suggested that these compounds are biologically active and possess the characteristics of ideal drug candidates. Based on the binding affinity and drug-likeness results, we selected the 16 most effective selenocompounds as potential anti-COVID-19 drug candidates. We also validated the structural integrity and stability of the drug candidate through molecular dynamics simulation. Using further in vitro and in vivo experiments, we believe that the targeted compound identified in this study (ethaselen) could pave the way for the development of prospective drugs to combat SARS-CoV-2 infections and trigger specific host immune responses.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Protease Inhibitors / Selenium / Coronavirus 3C Proteases / Heterocyclic Compounds Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Protease Inhibitors / Selenium / Coronavirus 3C Proteases / Heterocyclic Compounds Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib