Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shakya, Anshul, Chikhale, Rupesh V., Bhat, Hans Raj, Alasmary, Fatmah Ali, Almutairi, Tahani Mazyad, Ghosh, Surajit Kumar, Alhajri, Hassna Mohammed, Alissa, Siham A., Nagar, Shuchi, Islam, Md Ataul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009078/
https://www.ncbi.nlm.nih.gov/pubmed/33786727
http://dx.doi.org/10.1007/s11030-021-10209-3
_version_ 1783672811464687616
author Shakya, Anshul
Chikhale, Rupesh V.
Bhat, Hans Raj
Alasmary, Fatmah Ali
Almutairi, Tahani Mazyad
Ghosh, Surajit Kumar
Alhajri, Hassna Mohammed
Alissa, Siham A.
Nagar, Shuchi
Islam, Md Ataul
author_facet Shakya, Anshul
Chikhale, Rupesh V.
Bhat, Hans Raj
Alasmary, Fatmah Ali
Almutairi, Tahani Mazyad
Ghosh, Surajit Kumar
Alhajri, Hassna Mohammed
Alissa, Siham A.
Nagar, Shuchi
Islam, Md Ataul
author_sort Shakya, Anshul
collection PubMed
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. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11030-021-10209-3.
format Online
Article
Text
id pubmed-8009078
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-80090782021-03-31 Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors Shakya, Anshul Chikhale, Rupesh V. Bhat, Hans Raj Alasmary, Fatmah Ali Almutairi, Tahani Mazyad Ghosh, Surajit Kumar Alhajri, Hassna Mohammed Alissa, Siham A. Nagar, Shuchi Islam, Md Ataul Mol Divers Original Article 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. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11030-021-10209-3. Springer International Publishing 2021-03-30 2022 /pmc/articles/PMC8009078/ /pubmed/33786727 http://dx.doi.org/10.1007/s11030-021-10209-3 Text en © Crown 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Shakya, Anshul
Chikhale, Rupesh V.
Bhat, Hans Raj
Alasmary, Fatmah Ali
Almutairi, Tahani Mazyad
Ghosh, Surajit Kumar
Alhajri, Hassna Mohammed
Alissa, Siham A.
Nagar, Shuchi
Islam, Md Ataul
Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title_full Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title_fullStr Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title_full_unstemmed Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title_short Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors
title_sort pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from morus alba as sars-cov-2 cell entry inhibitors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009078/
https://www.ncbi.nlm.nih.gov/pubmed/33786727
http://dx.doi.org/10.1007/s11030-021-10209-3
work_keys_str_mv AT shakyaanshul pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT chikhalerupeshv pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT bhathansraj pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT alasmaryfatmahali pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT almutairitahanimazyad pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT ghoshsurajitkumar pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT alhajrihassnamohammed pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT alissasihama pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT nagarshuchi pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors
AT islammdataul pharmacoinformaticsbasedidentificationoftransmembraneproteaseserine2inhibitorsfrommorusalbaassarscov2cellentryinhibitors