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Predicted antiviral drugs Darunavir, Indinavir and Rimantadine can potentially bind to neutralize COVID-19 conserved proteins
Umesh Chandra Halder
Department of Zoology, Raniganj Girls’ College, Searsole -Rajbari, Raniganj, Paschim Bardhaman -713358, West Bengal, India
Corresponding Author
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Background: Novel Coronavirus disease 2019 or COVID-19 has become a threat to human society due to fast spreading and increasing mortality. It uses vertebrate hosts and presently deploying humans. Life cycle and pathogenicity of COVID-19 have already been deciphered and possible drug target tests are on the way.
Results: The present study was aimed to analyze conserved Endoribonuclease, protease and replicase proteins of the virus as targets to all known drugs. A bioinformatics based web server Drug ReposeER predicted several drug binding motifs in these analyzed proteins. Results revealed that anti-viral Darunavir, Indinavir and Rimantadine were the most potent to have 3D-drug binding motifs on COVID-19 proteins.
Conclusions: Repurposing of the antiviral drugs Darunavir, Indinavir and Rimantadine to treat COVID-19 infected persons could be useful that can potentially prevent thousands of human mortality.
Keywords
COVID-19, Antiviral drugs, Drug binding 3D-motif, Darunavir, Indinavir, Rimantadine, Endoribonuclease, Main Protease, Replicase
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CURRENT STATUS: Under Review
Version 1
Posted 13 Apr, 2020
No community comments so far
Review #1 received
Received 17 Apr, 2020
Reviewers invited
Invitations sent on 11 Apr, 2020
Reviewer #1 agreed
On 11 Apr, 2020
Editor assigned
On 10 Apr, 2020
Submission checks complete
On 09 Apr, 2020
Editor invited
On 09 Apr, 2020
First submitted
On 08 Apr, 2020
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Infectious Diseases
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This preprint is under consideration at Journal of Biological Research-Thessaloniki. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Predicted antiviral drugs Darunavir, Indinavir and Rimantadine can potentially bind to neutralize COVID-19 conserved proteins
Umesh Chandra Halder
Department of Zoology, Raniganj Girls’ College, Searsole -Rajbari, Raniganj, Paschim Bardhaman -713358, West Bengal, India
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 13 Apr, 2020
No community comments so far
Review #1 received
Received 17 Apr, 2020
Reviewers invited
Invitations sent on 11 Apr, 2020
Reviewer #1 agreed
On 11 Apr, 2020
Editor assigned
On 10 Apr, 2020
Submission checks complete
On 09 Apr, 2020
Editor invited
On 09 Apr, 2020
First submitted
On 08 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Infectious Diseases
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Novel Coronavirus disease 2019 or COVID-19 has become a threat to human society due to fast spreading and increasing mortality. It uses vertebrate hosts and presently deploying humans. Life cycle and pathogenicity of COVID-19 have already been deciphered and possible drug target tests are on the way.
Results: The present study was aimed to analyze conserved Endoribonuclease, protease and replicase proteins of the virus as targets to all known drugs. A bioinformatics based web server Drug ReposeER predicted several drug binding motifs in these analyzed proteins. Results revealed that anti-viral Darunavir, Indinavir and Rimantadine were the most potent to have 3D-drug binding motifs on COVID-19 proteins.
Conclusions: Repurposing of the antiviral drugs Darunavir, Indinavir and Rimantadine to treat COVID-19 infected persons could be useful that can potentially prevent thousands of human mortality.
Figure 1
Figure 2
Figure 3