Cargando…

Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach

The spike protein receptor binding domain (S-RBD) is a necessary corona-viral protein for binding and entry of coronaviruses (COVs) into the host cells. Hence, it has emerged as an attractive antiviral drug target. Therefore, present study was aimed to target severe acute respiratory syndrome corona...

Descripción completa

Detalles Bibliográficos
Autores principales: Muhseen, Ziyad Tariq, Hameed, Alaa R., Al-Hasani, Halah M.H., Tahir ul Qamar, Muhammad, Li, Guanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538380/
https://www.ncbi.nlm.nih.gov/pubmed/33041407
http://dx.doi.org/10.1016/j.molliq.2020.114493
_version_ 1783590858280402944
author Muhseen, Ziyad Tariq
Hameed, Alaa R.
Al-Hasani, Halah M.H.
Tahir ul Qamar, Muhammad
Li, Guanglin
author_facet Muhseen, Ziyad Tariq
Hameed, Alaa R.
Al-Hasani, Halah M.H.
Tahir ul Qamar, Muhammad
Li, Guanglin
author_sort Muhseen, Ziyad Tariq
collection PubMed
description The spike protein receptor binding domain (S-RBD) is a necessary corona-viral protein for binding and entry of coronaviruses (COVs) into the host cells. Hence, it has emerged as an attractive antiviral drug target. Therefore, present study was aimed to target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S-RBD with novel bioactive compounds to retrieve potential candidates that could serve as anti-coronavirus disease 2019 (COVID-19) drugs. In this paper, computational approaches were employed, especially the structure-based virtual screening followed by molecular dynamics (MD) simulation as well as binding energy analysis for the computational identification of specific terpenes from the medicinal plants, which can block SARS-CoV-2 S-RBD binding to Human angiotensin-converting enzyme 2 (H-ACE2) and can act as potent anti-COVID-19 drugs after further advancements. The screening of focused terpenes inhibitors database composed of ~1000 compounds with reported therapeutic potential resulted in the identification of three candidate compounds, NPACT01552, NPACT01557 and NPACT00631. These three compounds established conserved interactions, which were further explored through all-atom MD simulations, free energy calculations, and a residual energy contribution estimated by MM-PB(GB)SA method. All these compounds showed stable conformation and interacted well with the hot-spot residues of SARS-CoV-2 S-RBD. Conclusively, the reported SARS-CoV-2 S-RBD specific terpenes could serve as seeds for developing potent anti-COVID-19 drugs. Importantly, the experimentally tested glycyrrhizin (NPACT00631) against SARS-CoV could be used further in the fast-track drug development process to help curb COVID-19.
format Online
Article
Text
id pubmed-7538380
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The Authors. Published by Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-75383802020-10-07 Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach Muhseen, Ziyad Tariq Hameed, Alaa R. Al-Hasani, Halah M.H. Tahir ul Qamar, Muhammad Li, Guanglin J Mol Liq Article The spike protein receptor binding domain (S-RBD) is a necessary corona-viral protein for binding and entry of coronaviruses (COVs) into the host cells. Hence, it has emerged as an attractive antiviral drug target. Therefore, present study was aimed to target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S-RBD with novel bioactive compounds to retrieve potential candidates that could serve as anti-coronavirus disease 2019 (COVID-19) drugs. In this paper, computational approaches were employed, especially the structure-based virtual screening followed by molecular dynamics (MD) simulation as well as binding energy analysis for the computational identification of specific terpenes from the medicinal plants, which can block SARS-CoV-2 S-RBD binding to Human angiotensin-converting enzyme 2 (H-ACE2) and can act as potent anti-COVID-19 drugs after further advancements. The screening of focused terpenes inhibitors database composed of ~1000 compounds with reported therapeutic potential resulted in the identification of three candidate compounds, NPACT01552, NPACT01557 and NPACT00631. These three compounds established conserved interactions, which were further explored through all-atom MD simulations, free energy calculations, and a residual energy contribution estimated by MM-PB(GB)SA method. All these compounds showed stable conformation and interacted well with the hot-spot residues of SARS-CoV-2 S-RBD. Conclusively, the reported SARS-CoV-2 S-RBD specific terpenes could serve as seeds for developing potent anti-COVID-19 drugs. Importantly, the experimentally tested glycyrrhizin (NPACT00631) against SARS-CoV could be used further in the fast-track drug development process to help curb COVID-19. The Authors. Published by Elsevier B.V. 2020-12-15 2020-10-07 /pmc/articles/PMC7538380/ /pubmed/33041407 http://dx.doi.org/10.1016/j.molliq.2020.114493 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Muhseen, Ziyad Tariq
Hameed, Alaa R.
Al-Hasani, Halah M.H.
Tahir ul Qamar, Muhammad
Li, Guanglin
Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title_full Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title_fullStr Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title_full_unstemmed Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title_short Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach
title_sort promising terpenes as sars-cov-2 spike receptor-binding domain (rbd) attachment inhibitors to the human ace2 receptor: integrated computational approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538380/
https://www.ncbi.nlm.nih.gov/pubmed/33041407
http://dx.doi.org/10.1016/j.molliq.2020.114493
work_keys_str_mv AT muhseenziyadtariq promisingterpenesassarscov2spikereceptorbindingdomainrbdattachmentinhibitorstothehumanace2receptorintegratedcomputationalapproach
AT hameedalaar promisingterpenesassarscov2spikereceptorbindingdomainrbdattachmentinhibitorstothehumanace2receptorintegratedcomputationalapproach
AT alhasanihalahmh promisingterpenesassarscov2spikereceptorbindingdomainrbdattachmentinhibitorstothehumanace2receptorintegratedcomputationalapproach
AT tahirulqamarmuhammad promisingterpenesassarscov2spikereceptorbindingdomainrbdattachmentinhibitorstothehumanace2receptorintegratedcomputationalapproach
AT liguanglin promisingterpenesassarscov2spikereceptorbindingdomainrbdattachmentinhibitorstothehumanace2receptorintegratedcomputationalapproach