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About:
Discovery of human coronaviruses pan-papain-like protease inhibitors using computational approaches
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wasabi.inria.fr
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research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Discovery of human coronaviruses pan-papain-like protease inhibitors using computational approaches
Creator
Chen, Ling-Ling
Chen,
Alqahtani, Safar
Alamri, Mubarak
Tahir Ul Qamar, Muhammad
Alamri,
Alqahtani, Matheus
Froeyen, Ling-Ling
Froeyen, Matheus
Mirza, Muhammad
Mirza, Safar
Mubarak, A
Muhammad, Usman
source
Elsevier; PMC
abstract
The papain-like protease (PL(pro)) is vital for the replication of coronaviruses (CoVs), as well as for escaping innate-immune responses of the host. Hence, it has emerged as an attractive antiviral drug-target. In this study, computational approaches were employed, mainly the structure-based virtual screening coupled with all-atom molecular dynamics (MD) simulations to computationally identify specific inhibitors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PL(pro), that can be further developed as potential pan-PL(pro) based broad-spectrum antiviral drugs. The sequence, structure, and functional conserveness of most deadly human CoVs PL(pro) were exploited, and it was revealed that functionally important catalytic triad residues are well conserved among SARS-CoV, SARS-CoV-2, and middle east respiratory syndrome coronavirus (MERS-CoV). The subsequent screening of a focused protease inhibitors database composed of ∼7000 compounds resulted in the identification of three candidate compounds, ADM_13083841, LMG_15521745, and SYN_15517940. These three compounds established conserved interactions which were further explored through MD simulations, free energy calculations, and residual energy contribution estimated by MM-PB(GB)SA method. All these compounds showed stable conformation and interacted well with the active residues of SARS-CoV-2 PL(pro) and showed consistent interaction profile with SARS-CoV PL(pro) and MERS-CoV PL(pro) as well. Conclusively, the reported SARS-CoV-2 PL(pro) specific compounds could serve as seeds for developing potent pan-PL(pro) based broad-spectrum antiviral drugs against deadly human coronaviruses. Moreover, the presented information related to binding site residual energy contribution could lead to further optimization of these compounds.
has issue date
2020-08-28
(
xsd:dateTime
)
bibo:doi
10.1016/j.jpha.2020.08.012
has license
no-cc
sha1sum (hex)
7965f16dda5fc524d5150a627867fc60069d7ac8
schema:url
https://doi.org/10.1016/j.jpha.2020.08.012
resource representing a document's title
Discovery of human coronaviruses pan-papain-like protease inhibitors using computational approaches
has PubMed Central identifier
PMC7453225
schema:publication
J Pharm Anal
resource representing a document's body
covid:7965f16dda5fc524d5150a627867fc60069d7ac8#body_text
is
schema:about
of
named entity 'human coronaviruses'
named entity 'ABSTRACT'
named entity 'S.M'
named entity 'PRE'
covid:arg/7965f16dda5fc524d5150a627867fc60069d7ac8
named entity 'Chen'
named entity 'Mirza'
named entity 'cite'
named entity 'papain'
named entity 'toxicity'
named entity '7.9'
named entity 'MERS-CoV'
named entity 'ligand'
named entity 'virtual high throughput screening'
named entity 'sequence alignment'
named entity 'MERS-CoV'
named entity 'metabolism'
named entity 'MERS-CoV'
named entity 'SARS'
named entity 'MERS-CoV'
named entity 'SARS-CoV-2'
named entity 'kcal'
named entity 'computational methods'
named entity 'PBSA'
named entity 'molecular mechanics'
named entity 'binding energy'
named entity 'active site'
named entity 'computational approach'
named entity 'kcal'
named entity 'protease inhibitors'
named entity 'internal energy'
named entity 'methyl'
named entity 'SARS-CoV'
named entity 'protein sequence'
named entity 'GBSA'
named entity 'non-polar'
named entity 'catalytic triad'
named entity 'RMSD'
named entity 'free energy'
named entity 'SARS-CoV'
named entity 'MERS-CoV'
named entity 'SARS-CoV-2'
named entity 'binding energy'
named entity 'SARS-CoV-2'
named entity 'solvation'
named entity 'kcal'
named entity 'catalytic triad'
named entity 'van der Waals'
named entity 'SARS-CoV'
named entity 'electrostatic'
named entity 'binding energy'
named entity 'GBSA'
named entity '8.5'
named entity 'structure-based'
named entity 'entropic'
named entity 'excretion'
named entity 'solvation'
named entity 'SARS-CoV-2'
named entity 'well-conserved'
named entity 'ADMET'
named entity 'binding energy'
named entity 'Solvation'
named entity 'kcal'
named entity 'SARS-CoV'
named entity 'oxo'
named entity 'free energy'
named entity 'target protein'
named entity 'sequence alignment'
named entity 'human coronaviruses'
named entity 'protease inhibitors'
named entity 'protease inhibitors'
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