Exploring RdRp-remdesivir interactions to screen RdRp inhibitors for the management of novel coronavirus 2019-nCoV

A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that h...

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Published inSAR and QSAR in environmental research Vol. 31; no. 11; pp. 857 - 867
Main Authors Singh, P.K., Pathania, S., Rawal, R.K.
Format Journal Article
LanguageEnglish
Published England Taylor & Francis 01.11.2020
Taylor & Francis Ltd
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Online AccessGet full text
ISSN1062-936X
1029-046X
1029-046X
DOI10.1080/1062936X.2020.1825014

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Abstract A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that human beings have faced, and therefore analysis and evaluation of all possible responses against infection is required. One such strategy includes utilizing the knowledge gained from the SARS and MERS outbreaks regarding existing antivirals. Indicating a potential for success, one of the drugs, remdesivir, under repurposing studies, has shown positive results in initial clinical studies. Therefore, in the current work, the authors have attempted to utilize the remdesivir-RdRp complex - RdRp (RNA-dependent RNA polymerase) being the putative target for remdesivir - to screen a library of the already reported RdRp inhibitor database. Further clustering on the basis of structural features and scoring refinement was performed to filter out false positive hits. Finally, molecular dynamics simulation was carried out to validate the identification of hits as RdRp inhibitors against novel coronavirus 2019-nCoV. The results yielded two putative hits which can inhibit RdRp with better potency than remdesivir, subject to further biological evaluation.
AbstractList A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that human beings have faced, and therefore analysis and evaluation of all possible responses against infection is required. One such strategy includes utilizing the knowledge gained from the SARS and MERS outbreaks regarding existing antivirals. Indicating a potential for success, one of the drugs, remdesivir, under repurposing studies, has shown positive results in initial clinical studies. Therefore, in the current work, the authors have attempted to utilize the remdesivir-RdRp complex - RdRp (RNA-dependent RNA polymerase) being the putative target for remdesivir - to screen a library of the already reported RdRp inhibitor database. Further clustering on the basis of structural features and scoring refinement was performed to filter out false positive hits. Finally, molecular dynamics simulation was carried out to validate the identification of hits as RdRp inhibitors against novel coronavirus 2019-nCoV. The results yielded two putative hits which can inhibit RdRp with better potency than remdesivir, subject to further biological evaluation.A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that human beings have faced, and therefore analysis and evaluation of all possible responses against infection is required. One such strategy includes utilizing the knowledge gained from the SARS and MERS outbreaks regarding existing antivirals. Indicating a potential for success, one of the drugs, remdesivir, under repurposing studies, has shown positive results in initial clinical studies. Therefore, in the current work, the authors have attempted to utilize the remdesivir-RdRp complex - RdRp (RNA-dependent RNA polymerase) being the putative target for remdesivir - to screen a library of the already reported RdRp inhibitor database. Further clustering on the basis of structural features and scoring refinement was performed to filter out false positive hits. Finally, molecular dynamics simulation was carried out to validate the identification of hits as RdRp inhibitors against novel coronavirus 2019-nCoV. The results yielded two putative hits which can inhibit RdRp with better potency than remdesivir, subject to further biological evaluation.
A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that human beings have faced, and therefore analysis and evaluation of all possible responses against infection is required. One such strategy includes utilizing the knowledge gained from the SARS and MERS outbreaks regarding existing antivirals. Indicating a potential for success, one of the drugs, remdesivir, under repurposing studies, has shown positive results in initial clinical studies. Therefore, in the current work, the authors have attempted to utilize the remdesivir–RdRp complex – RdRp (RNA-dependent RNA polymerase) being the putative target for remdesivir – to screen a library of the already reported RdRp inhibitor database. Further clustering on the basis of structural features and scoring refinement was performed to filter out false positive hits. Finally, molecular dynamics simulation was carried out to validate the identification of hits as RdRp inhibitors against novel coronavirus 2019-nCoV. The results yielded two putative hits which can inhibit RdRp with better potency than remdesivir, subject to further biological evaluation.
Author Singh, P.K.
Pathania, S.
Rawal, R.K.
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Keywords COVID-19
scoring refinement
Remdesivir–RdRp complex
molecular docking
molecular dynamics
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SubjectTerms Adenosine Monophosphate - analogs & derivatives
Adenosine Monophosphate - chemistry
Adenosine Monophosphate - pharmacology
Alanine - analogs & derivatives
Alanine - chemistry
Alanine - pharmacology
Antiviral Agents - chemistry
Antiviral Agents - pharmacology
Betacoronavirus - drug effects
Betacoronavirus - enzymology
Clustering
Coronaviridae
Coronavirus Infections - drug therapy
Coronaviruses
COVID-19
DNA-directed RNA polymerase
Inhibitors
molecular docking
Molecular Docking Simulation
Molecular dynamics
Pandemics
Pneumonia, Viral
Quantitative Structure-Activity Relationship
Remdesivir-RdRp complex
RNA polymerase
RNA-Dependent RNA Polymerase - antagonists & inhibitors
RNA-directed RNA polymerase
SARS-CoV-2
scoring refinement
Viral diseases
Viral Proteins - drug effects
Title Exploring RdRp-remdesivir interactions to screen RdRp inhibitors for the management of novel coronavirus 2019-nCoV
URI https://www.tandfonline.com/doi/abs/10.1080/1062936X.2020.1825014
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