Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors

Show simple item record

dc.contributor.author Shakya, Anshul
dc.contributor.author Chikhale, Rupesh V.
dc.contributor.author Bhat, Hans Raj
dc.contributor.author Alasmary, Fatmah Ali
dc.contributor.author Almutairi, Tahani Mazyad
dc.contributor.author Ghosh, Surajit Kumar
dc.contributor.author Alhajri, Hassna Mohammed
dc.contributor.author Alissa, Siham A.
dc.contributor.author Nagar, Shuchi
dc.contributor.author Islam, Md Ataul
dc.date.accessioned 2022-07-06T08:03:01Z
dc.date.available 2022-07-06T08:03:01Z
dc.date.issued 2022-02
dc.description.abstract Transmembrane protease serine-2 (TMPRSS2) is a cell-surface protein expressed by epithelial cells of specific tissues including those in the aerodigestive tract. It helps the entry of novel coronavirus (n-CoV) or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in the host cell. Successful inhibition of the TMPRSS2 can be one of the crucial strategies to stop the SARS-CoV-2 infection. In the present study, a set of bioactive molecules from Morus alba Linn. were screened against the TMPRSS2 through two widely used molecular docking engines such as Autodock vina and Glide. Molecules having a higher binding affinity toward the TMPRSS2 compared to Camostat and Ambroxol were considered for in-silico pharmacokinetic analyses. Based on acceptable pharmacokinetic parameters and drug-likeness, finally, five molecules were found to be important for the TMPRSS2 inhibition. A number of bonding interactions in terms of hydrogen bond and hydrophobic interactions were observed between the proposed molecules and ligand-interacting amino acids of the TMPRSS2. The dynamic behavior and stability of best-docked complex between TRMPRSS2 and proposed molecules were assessed through molecular dynamics (MD) simulation. Several parameters from MD simulation have suggested the stability between the protein and ligands. Binding free energy of each molecule calculated through MM-GBSA approach from the MD simulation trajectory suggested strong affection toward the TMPRSS2. Hence, proposed molecules might be crucial chemical components for the TMPRSS2 inhibition. en_US
dc.description.department Chemical Pathology en_US
dc.description.librarian hj2022 en_US
dc.description.uri https://link.springer.com/journal/11030 en_US
dc.identifier.citation Shakya, A., Chikhale, R.V., Bhat, H.R. et al. Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors. Molecular Diversity 26, 265–278 (2022). https://doi.org/10.1007/s11030-021-10209-3. en_US
dc.identifier.issn 1381-1991 (print)
dc.identifier.issn 1573-501X (online)
dc.identifier.other 10.1007/s11030-021-10209-3
dc.identifier.uri https://repository.up.ac.za/handle/2263/86048
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © 2021, Crown. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License. en_US
dc.subject Transmembrane protease serine-2 (TMPRSS2) en_US
dc.subject Novel coronavirus (n-CoV) en_US
dc.subject Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) en_US
dc.subject Molecular docking en_US
dc.subject Morus alba Linn. en_US
dc.subject Virtual screening en_US
dc.title Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record