Cargando…

A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases

Identifying best bioactive phytochemicals from different medicinal plants using molecular docking techniques demonstrates a potential pre-clinical compound discovery against SARS-CoV-2 viral infection. The in silico screening of bioactive phytochemicals with the two druggable targets of SARS-CoV-2 b...

Descripción completa

Detalles Bibliográficos
Autores principales: Pushkaran, Anju Choorakottayil, Nath EN, Prajeesh, Melge, Anu R., Puthiyedath, Rammanohar, Mohan, C. Gopi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696622/
https://www.ncbi.nlm.nih.gov/pubmed/35423778
http://dx.doi.org/10.1039/d0ra10458b
_version_ 1784619857480777728
author Pushkaran, Anju Choorakottayil
Nath EN, Prajeesh
Melge, Anu R.
Puthiyedath, Rammanohar
Mohan, C. Gopi
author_facet Pushkaran, Anju Choorakottayil
Nath EN, Prajeesh
Melge, Anu R.
Puthiyedath, Rammanohar
Mohan, C. Gopi
author_sort Pushkaran, Anju Choorakottayil
collection PubMed
description Identifying best bioactive phytochemicals from different medicinal plants using molecular docking techniques demonstrates a potential pre-clinical compound discovery against SARS-CoV-2 viral infection. The in silico screening of bioactive phytochemicals with the two druggable targets of SARS-CoV-2 by simple precision/extra precision molecular docking methods was used to compute binding affinity at its active sites. phyllaemblicin and cinnamtannin class of phytocompounds showed a better binding affinity range (−9.0 to −8.0 kcal mol(−1)) towards both these SARS-CoV-2 targets; the corresponding active site residues in the spike protein were predicted as: Y453, Q496, Q498, N501, Y449, Q493, G496, T500, Y505, L455, Q493, and K417; and M(pro): Q189, H164, H163, P168, H41, L167, Q192, M165, C145, Y54, M49, and Q189. Molecular dynamics simulation further established the structural and energetic stability of protein–phytocompound complexes and their interactions with their key residues supporting the molecular docking analysis. Protein–protein docking using ZDOCK and Prodigy server predicted the binding pose and affinity (−13.8 kcal mol(−1)) of the spike glycoprotein towards the human ACE2 enzyme and also showed significant structural variations in the ACE2 recognition site upon the binding of phyllaemblicin C compound at their binding interface. The phyllaemblicin and cinnamtannin class of phytochemicals can be potential inhibitors of both the spike and M(pro) proteins of SARS-CoV-2; furthermore, its pharmacology and clinical optimization would lead towards novel COVID-19 small-molecule therapy.
format Online
Article
Text
id pubmed-8696622
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-86966222022-04-13 A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases Pushkaran, Anju Choorakottayil Nath EN, Prajeesh Melge, Anu R. Puthiyedath, Rammanohar Mohan, C. Gopi RSC Adv Chemistry Identifying best bioactive phytochemicals from different medicinal plants using molecular docking techniques demonstrates a potential pre-clinical compound discovery against SARS-CoV-2 viral infection. The in silico screening of bioactive phytochemicals with the two druggable targets of SARS-CoV-2 by simple precision/extra precision molecular docking methods was used to compute binding affinity at its active sites. phyllaemblicin and cinnamtannin class of phytocompounds showed a better binding affinity range (−9.0 to −8.0 kcal mol(−1)) towards both these SARS-CoV-2 targets; the corresponding active site residues in the spike protein were predicted as: Y453, Q496, Q498, N501, Y449, Q493, G496, T500, Y505, L455, Q493, and K417; and M(pro): Q189, H164, H163, P168, H41, L167, Q192, M165, C145, Y54, M49, and Q189. Molecular dynamics simulation further established the structural and energetic stability of protein–phytocompound complexes and their interactions with their key residues supporting the molecular docking analysis. Protein–protein docking using ZDOCK and Prodigy server predicted the binding pose and affinity (−13.8 kcal mol(−1)) of the spike glycoprotein towards the human ACE2 enzyme and also showed significant structural variations in the ACE2 recognition site upon the binding of phyllaemblicin C compound at their binding interface. The phyllaemblicin and cinnamtannin class of phytochemicals can be potential inhibitors of both the spike and M(pro) proteins of SARS-CoV-2; furthermore, its pharmacology and clinical optimization would lead towards novel COVID-19 small-molecule therapy. The Royal Society of Chemistry 2021-03-24 /pmc/articles/PMC8696622/ /pubmed/35423778 http://dx.doi.org/10.1039/d0ra10458b Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Pushkaran, Anju Choorakottayil
Nath EN, Prajeesh
Melge, Anu R.
Puthiyedath, Rammanohar
Mohan, C. Gopi
A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title_full A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title_fullStr A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title_full_unstemmed A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title_short A phytochemical-based medication search for the SARS-CoV-2 infection by molecular docking models towards spike glycoproteins and main proteases
title_sort phytochemical-based medication search for the sars-cov-2 infection by molecular docking models towards spike glycoproteins and main proteases
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696622/
https://www.ncbi.nlm.nih.gov/pubmed/35423778
http://dx.doi.org/10.1039/d0ra10458b
work_keys_str_mv AT pushkarananjuchoorakottayil aphytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT nathenprajeesh aphytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT melgeanur aphytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT puthiyedathrammanohar aphytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT mohancgopi aphytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT pushkarananjuchoorakottayil phytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT nathenprajeesh phytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT melgeanur phytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT puthiyedathrammanohar phytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases
AT mohancgopi phytochemicalbasedmedicationsearchforthesarscov2infectionbymoleculardockingmodelstowardsspikeglycoproteinsandmainproteases