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About:
Investigating the binding affinity, interaction, and structure-activity-relationship of 76 prescription antiviral drugs targeting RdRp and Mpro of SARS-CoV-2
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Investigating the binding affinity, interaction, and structure-activity-relationship of 76 prescription antiviral drugs targeting RdRp and Mpro of SARS-CoV-2
Creator
Al Mamun, Abdulla
Halim, Mohammad
Islam, Rajib
Parves,
Ahmed, Samina
Ahmed, Sinthyia
Akter, Shaila
Ali, Ackas
Hossain, Nayeem
Mahtarin, Rumana
Sultana, Mossammad
Ullah, M
Source
Medline; PMC
abstract
SARS-CoV-2 virus outbreak poses a major threat to humans worldwide due to its highly contagious nature. In this study, molecular docking, molecular dynamics, and structure-activity relationship are employed to assess the binding affinity and interaction of 76 prescription drugs against RNA dependent RNA polymerase (RdRp) and Main Protease (Mpro) of SARS-CoV-2. The RNA-dependent RNA polymerase is a vital enzyme of coronavirus replication/transcription complex whereas the main protease acts on the proteolysis of replicase polyproteins. Among 76 prescription antiviral drugs, four drugs (Raltegravir, Simeprevir, Cobicistat, and Daclatasvir) that are previously used for human immunodeficiency virus (HIV), hepatitis C virus (HCV), Ebola, and Marburg virus show higher binding energy and strong interaction with active sites of the receptor proteins. To explore the dynamic nature of the interaction, 100 ns molecular dynamics (MD) simulation is performed on the selected protein-drug complexes and apo-protein. Binding free energy of the selected drugs is performed by MM/PBSA. Besides docking and dynamics, partial least square (PLS) regression method is applied for the quantitative structure activity relationship to generate and predict the binding energy for drugs. PLS regression satisfactorily predicts the binding energy of the effective antiviral drugs compared to binding energy achieved from molecular docking with a precision of 85%. This study highly recommends researchers to screen these potential drugs in vitro and in vivo against SARS-CoV-2 for further validation of utility.
has issue date
2020-07-28
(
xsd:dateTime
)
bibo:doi
10.1080/07391102.2020.1796804
bibo:pmid
32720571
has license
no-cc
sha1sum (hex)
e54a453638b227dfba3cdcf5e0211551f9dfeb7d
schema:url
https://doi.org/10.1080/07391102.2020.1796804
resource representing a document's title
Investigating the binding affinity, interaction, and structure-activity-relationship of 76 prescription antiviral drugs targeting RdRp and Mpro of SARS-CoV-2
has PubMed Central identifier
PMC7441766
has PubMed identifier
32720571
schema:publication
Journal of biomolecular structure & dynamics
resource representing a document's body
covid:e54a453638b227dfba3cdcf5e0211551f9dfeb7d#body_text
is
schema:about
of
named entity 'Simeprevir'
named entity 'vivo'
named entity 'proteins'
named entity 'poses'
named entity 'explore'
named entity 'SARS-CoV-2'
named entity 'RNA-dependent RNA polymerase'
named entity 'structure-activity relationship'
named entity 'ENZYME'
named entity 'DYNAMIC NATURE OF'
named entity 'SIMEPREVIR'
named entity 'EFFECTIVE'
named entity 'researchers'
named entity 'predict'
named entity 'Raltegravir'
named entity 'interaction'
named entity 'PLS'
named entity 'SARS-CoV-2'
named entity 'utility'
named entity 'polymerase'
named entity 'regression'
named entity 'dynamic'
named entity 'quantitative'
named entity 'free energy'
named entity 'replicase'
named entity 'protein'
named entity 'replicase'
named entity 'molecular docking'
named entity 'HCV'
named entity 'RNA-dependent RNA polymerase'
named entity 'protease'
named entity 'apo'
named entity 'binding affinity'
named entity 'prescription drugs'
named entity 'PLS'
named entity 'human immunodeficiency virus'
named entity 'structure activity relationship'
named entity 'molecular dynamics'
named entity '85%'
named entity 'antiviral drugs'
named entity 'Daclatasvir'
named entity 'PLS'
named entity 'binding affinity'
named entity 'antiviral drugs'
named entity 'Protease'
named entity 'Hermes'
named entity 'molecular docking'
named entity 'Mpro'
named entity 'RNA dependent RNA polymerase'
named entity 'binding affinity'
named entity 'RStudio'
named entity 'RdRp'
named entity 'structural domains'
named entity 'protein structure'
named entity 'free energy'
named entity 'critical role'
named entity 'particle Mesh'
named entity 'RdRp'
named entity 'Molecular Mechanics'
named entity 'RMSF'
named entity 'free energy'
named entity 'Ligand Docking'
named entity 'Remdesivir'
named entity 'binding energy'
named entity 'Principal component analysis'
named entity 'coronavirus outbreak'
named entity 'Mpro'
named entity 'Mpro'
named entity 'binding affinity'
named entity 'Mpro'
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