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<i>In silico</i> identification of potential SARS COV-2 2′-<i>O</i>-methyltransferase inhibitor: fragment-based screening approach and MM-PBSA calculations

202119 citationsOpen accessKafr el-Sheikh University

Abstract

In the present era, there are many efforts trying to face the emerging and successive waves of the COVID-19 pandemic. This has led to considering new and unusual targets for SARS CoV-2. 2'-<i>O</i>-Methyltransferase (nsp16) is a key and attractive target in the SARS CoV-2 life cycle since it is responsible for the viral RNA protection <i>via</i> a cap formation process. In this study, we propose a new potential inhibitor for SARS COV-2 2'-<i>O</i>-methyltransferase (nsp16). A fragment library was screened against the co-crystal structure of the SARS COV-2 2'-<i>O</i>-methyltransferase complexed with Sinefungin (nsp16 - PDB ID: 6WKQ), and consequently the best proposed fragments were linked <i>via</i> a <i>de novo</i> approach to build molecule AP-20. Molecule AP-20 displayed a superior docking score to Sinefungin and reproduced the key interactions in the binding site of 2'-<i>O</i>-methyltransferase. Three molecular dynamic simulations of the 2'-<i>O</i>-methyltransferase apo structure and its complexed forms with AP-20 and Sinefungin were performed for 150 nano-seconds to provide insights on the dynamic nature of such setups and to assess the stability of the proposed AP-20/enzyme complex. AP-20/enzyme complex demonstrated better stability for the ligand-enzyme complex compared to Sinefungin in a respective setup. Furthermore, MM-PBSA binding free energy calculations showed a better profile for AP-20/enzyme complex compared to Sinefungin/enzyme complex emphasizing the potential inhibitory effect of AP-20 on SARS COV-2 2'-<i>O</i>-methyltransferase. We endorse our designed molecule AP-20 to be further explored <i>via</i> experimental evaluations to confront the spread of the emerging COVID-19. Also, <i>in silico</i> ADME profiling has ascribed to AP-20 an excellent safety and metabolic stability profile.

Research topics

  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • HIV/AIDS drug development and treatment

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DOI: 10.1039/d1ra01809d

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