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Identifying the natural polyphenol catechin as a multi-targeted agent against SARS-CoV-2 for the plausible therapy of COVID-19: an integrated computational approach
Abstract The global pandemic crisis, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of millions of people across the world. Development and testing of anti-SARS-CoV-2 drugs or vaccines have not turned to be realis...
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Published in: | Briefings in bioinformatics 2021-03, Vol.22 (2), p.1346-1360 |
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creator | Mishra, Chandra Bhushan Pandey, Preeti Sharma, Ravi Datta Malik, Md Zubbair Mongre, Raj Kumar Lynn, Andrew M Prasad, Rajendra Jeon, Raok Prakash, Amresh |
description | Abstract
The global pandemic crisis, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of millions of people across the world. Development and testing of anti-SARS-CoV-2 drugs or vaccines have not turned to be realistic within the timeframe needed to combat this pandemic. Here, we report a comprehensive computational approach to identify the multi-targeted drug molecules against the SARS-CoV-2 proteins, whichare crucially involved in the viral–host interaction, replication of the virus inside the host, disease progression and transmission of coronavirus infection. Virtual screening of 75 FDA-approved potential antiviral drugs against the target proteins, spike (S) glycoprotein, human angiotensin-converting enzyme 2 (hACE2), 3-chymotrypsin-like cysteine protease (3CLpro), cathepsin L (CTSL), nucleocapsid protein, RNA-dependent RNA polymerase (RdRp) and non-structural protein 6 (NSP6), resulted in the selection of seven drugs which preferentially bind to the target proteins. Further, the molecular interactions determined by molecular dynamics simulation revealed that among the 75 drug molecules, catechin can effectively bind to 3CLpro, CTSL, RBD of S protein, NSP6 and nucleocapsid protein. It is more conveniently involved in key molecular interactions, showing binding free energy (ΔGbind) in the range of −5.09 kcal/mol (CTSL) to −26.09 kcal/mol (NSP6). At the binding pocket, catechin is majorly stabilized by the hydrophobic interactions, displays ΔEvdW values: −7.59 to −37.39 kcal/mol. Thus, the structural insights of better binding affinity and favorable molecular interaction of catechin toward multiple target proteins signify that catechin can be potentially explored as a multi-targeted agent against COVID-19.
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doi_str_mv | 10.1093/bib/bbaa378 |
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The global pandemic crisis, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of millions of people across the world. Development and testing of anti-SARS-CoV-2 drugs or vaccines have not turned to be realistic within the timeframe needed to combat this pandemic. Here, we report a comprehensive computational approach to identify the multi-targeted drug molecules against the SARS-CoV-2 proteins, whichare crucially involved in the viral–host interaction, replication of the virus inside the host, disease progression and transmission of coronavirus infection. Virtual screening of 75 FDA-approved potential antiviral drugs against the target proteins, spike (S) glycoprotein, human angiotensin-converting enzyme 2 (hACE2), 3-chymotrypsin-like cysteine protease (3CLpro), cathepsin L (CTSL), nucleocapsid protein, RNA-dependent RNA polymerase (RdRp) and non-structural protein 6 (NSP6), resulted in the selection of seven drugs which preferentially bind to the target proteins. Further, the molecular interactions determined by molecular dynamics simulation revealed that among the 75 drug molecules, catechin can effectively bind to 3CLpro, CTSL, RBD of S protein, NSP6 and nucleocapsid protein. It is more conveniently involved in key molecular interactions, showing binding free energy (ΔGbind) in the range of −5.09 kcal/mol (CTSL) to −26.09 kcal/mol (NSP6). At the binding pocket, catechin is majorly stabilized by the hydrophobic interactions, displays ΔEvdW values: −7.59 to −37.39 kcal/mol. Thus, the structural insights of better binding affinity and favorable molecular interaction of catechin toward multiple target proteins signify that catechin can be potentially explored as a multi-targeted agent against COVID-19.
Graphical Abstract
Graphical Abstract</description><identifier>ISSN: 1467-5463</identifier><identifier>EISSN: 1477-4054</identifier><identifier>DOI: 10.1093/bib/bbaa378</identifier><identifier>PMID: 33386025</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>ACE2 ; Angiotensin ; Angiotensin-converting enzyme 2 ; Antiviral agents ; Binding ; Case Study ; Catechin ; Catechin - chemistry ; Catechin - pharmacology ; Catechin - therapeutic use ; Cathepsin L ; Chymotrypsin ; Computer applications ; Coronaviruses ; COVID-19 ; COVID-19 - virology ; COVID-19 Drug Treatment ; Cysteine proteinase ; Disease transmission ; DNA-directed RNA polymerase ; Drug development ; Free energy ; Glycoproteins ; Humans ; Hydrophobicity ; Molecular Docking Simulation ; Molecular dynamics ; Molecular Dynamics Simulation ; Molecular interactions ; Nucleocapsids ; Pandemics ; Peptidyl-dipeptidase A ; Polyphenols - pharmacology ; Polyphenols - therapeutic use ; Proteins ; Respiratory diseases ; RNA polymerase ; RNA-directed RNA polymerase ; SARS-CoV-2 - drug effects ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Vaccines ; Viral diseases ; Viruses</subject><ispartof>Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1346-1360</ispartof><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><rights>The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-f8166b790f9155569fa6b6e65d07b6778503f347b783f0ac54856db52c6312873</citedby><cites>FETCH-LOGICAL-c440t-f8166b790f9155569fa6b6e65d07b6778503f347b783f0ac54856db52c6312873</cites><orcidid>0000-0002-4821-1654</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799228/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799228/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,1598,27903,27904,53769,53771</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/bib/bbaa378$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33386025$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mishra, Chandra Bhushan</creatorcontrib><creatorcontrib>Pandey, Preeti</creatorcontrib><creatorcontrib>Sharma, Ravi Datta</creatorcontrib><creatorcontrib>Malik, Md Zubbair</creatorcontrib><creatorcontrib>Mongre, Raj Kumar</creatorcontrib><creatorcontrib>Lynn, Andrew M</creatorcontrib><creatorcontrib>Prasad, Rajendra</creatorcontrib><creatorcontrib>Jeon, Raok</creatorcontrib><creatorcontrib>Prakash, Amresh</creatorcontrib><title>Identifying the natural polyphenol catechin as a multi-targeted agent against SARS-CoV-2 for the plausible therapy of COVID-19: an integrated computational approach</title><title>Briefings in bioinformatics</title><addtitle>Brief Bioinform</addtitle><description>Abstract
The global pandemic crisis, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of millions of people across the world. Development and testing of anti-SARS-CoV-2 drugs or vaccines have not turned to be realistic within the timeframe needed to combat this pandemic. Here, we report a comprehensive computational approach to identify the multi-targeted drug molecules against the SARS-CoV-2 proteins, whichare crucially involved in the viral–host interaction, replication of the virus inside the host, disease progression and transmission of coronavirus infection. Virtual screening of 75 FDA-approved potential antiviral drugs against the target proteins, spike (S) glycoprotein, human angiotensin-converting enzyme 2 (hACE2), 3-chymotrypsin-like cysteine protease (3CLpro), cathepsin L (CTSL), nucleocapsid protein, RNA-dependent RNA polymerase (RdRp) and non-structural protein 6 (NSP6), resulted in the selection of seven drugs which preferentially bind to the target proteins. Further, the molecular interactions determined by molecular dynamics simulation revealed that among the 75 drug molecules, catechin can effectively bind to 3CLpro, CTSL, RBD of S protein, NSP6 and nucleocapsid protein. It is more conveniently involved in key molecular interactions, showing binding free energy (ΔGbind) in the range of −5.09 kcal/mol (CTSL) to −26.09 kcal/mol (NSP6). At the binding pocket, catechin is majorly stabilized by the hydrophobic interactions, displays ΔEvdW values: −7.59 to −37.39 kcal/mol. Thus, the structural insights of better binding affinity and favorable molecular interaction of catechin toward multiple target proteins signify that catechin can be potentially explored as a multi-targeted agent against COVID-19.
Graphical Abstract
Graphical Abstract</description><subject>ACE2</subject><subject>Angiotensin</subject><subject>Angiotensin-converting enzyme 2</subject><subject>Antiviral agents</subject><subject>Binding</subject><subject>Case Study</subject><subject>Catechin</subject><subject>Catechin - chemistry</subject><subject>Catechin - pharmacology</subject><subject>Catechin - therapeutic use</subject><subject>Cathepsin L</subject><subject>Chymotrypsin</subject><subject>Computer applications</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - virology</subject><subject>COVID-19 Drug Treatment</subject><subject>Cysteine proteinase</subject><subject>Disease transmission</subject><subject>DNA-directed RNA polymerase</subject><subject>Drug development</subject><subject>Free energy</subject><subject>Glycoproteins</subject><subject>Humans</subject><subject>Hydrophobicity</subject><subject>Molecular Docking Simulation</subject><subject>Molecular dynamics</subject><subject>Molecular Dynamics Simulation</subject><subject>Molecular interactions</subject><subject>Nucleocapsids</subject><subject>Pandemics</subject><subject>Peptidyl-dipeptidase A</subject><subject>Polyphenols - pharmacology</subject><subject>Polyphenols - therapeutic use</subject><subject>Proteins</subject><subject>Respiratory diseases</subject><subject>RNA polymerase</subject><subject>RNA-directed RNA polymerase</subject><subject>SARS-CoV-2 - drug effects</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Vaccines</subject><subject>Viral diseases</subject><subject>Viruses</subject><issn>1467-5463</issn><issn>1477-4054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kUuL1TAYhosozkVX7iUguBnqpE1zcyEMx9uBgQFHZxu-tEmboaeJaSqc_-MPNfUcB924yYU8efJ9eYviRYXfVFiSS-30pdYAhItHxWnVcF42mDaP1zXjJW0YOSnO5vke4xpzUT0tTgghguGanhY_t52ZkrN7N_UoDQZNkJYIIwp-3IfBTH5ELSTTDm5CMCNAu2VMrkwQe5NMh6DP9_MIbpoTur36cltu_F1ZI-vjb2EYYZmdHs26ixD2yFu0ubnbvi8r-RbBhNyUTB9htbV-F5YEyfkp1wAhRA_t8Kx4YmGczfPjfF58-_jh6-ZzeX3zabu5ui7bpsGptKJiTHOJrawopUxaYJoZRjvMNeNcUEwsabjmglgMLW0EZZ2mdctIVQtOzot3B29Y9M50be4sf4UK0e0g7pUHp_49mdygev9DcS5lXYsseHUURP99MXNS936JuZVZ1bSWkolGrtTFgWqjn-do7MMLFVZrpCpHqo6RZvrl30U9sH8yzMDrA-CX8F_TL2G4rGQ</recordid><startdate>20210322</startdate><enddate>20210322</enddate><creator>Mishra, Chandra Bhushan</creator><creator>Pandey, Preeti</creator><creator>Sharma, Ravi Datta</creator><creator>Malik, Md Zubbair</creator><creator>Mongre, Raj Kumar</creator><creator>Lynn, Andrew M</creator><creator>Prasad, Rajendra</creator><creator>Jeon, Raok</creator><creator>Prakash, Amresh</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4821-1654</orcidid></search><sort><creationdate>20210322</creationdate><title>Identifying the natural polyphenol catechin as a multi-targeted agent against SARS-CoV-2 for the plausible therapy of COVID-19: an integrated computational approach</title><author>Mishra, Chandra Bhushan ; 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The global pandemic crisis, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has claimed the lives of millions of people across the world. Development and testing of anti-SARS-CoV-2 drugs or vaccines have not turned to be realistic within the timeframe needed to combat this pandemic. Here, we report a comprehensive computational approach to identify the multi-targeted drug molecules against the SARS-CoV-2 proteins, whichare crucially involved in the viral–host interaction, replication of the virus inside the host, disease progression and transmission of coronavirus infection. Virtual screening of 75 FDA-approved potential antiviral drugs against the target proteins, spike (S) glycoprotein, human angiotensin-converting enzyme 2 (hACE2), 3-chymotrypsin-like cysteine protease (3CLpro), cathepsin L (CTSL), nucleocapsid protein, RNA-dependent RNA polymerase (RdRp) and non-structural protein 6 (NSP6), resulted in the selection of seven drugs which preferentially bind to the target proteins. Further, the molecular interactions determined by molecular dynamics simulation revealed that among the 75 drug molecules, catechin can effectively bind to 3CLpro, CTSL, RBD of S protein, NSP6 and nucleocapsid protein. It is more conveniently involved in key molecular interactions, showing binding free energy (ΔGbind) in the range of −5.09 kcal/mol (CTSL) to −26.09 kcal/mol (NSP6). At the binding pocket, catechin is majorly stabilized by the hydrophobic interactions, displays ΔEvdW values: −7.59 to −37.39 kcal/mol. Thus, the structural insights of better binding affinity and favorable molecular interaction of catechin toward multiple target proteins signify that catechin can be potentially explored as a multi-targeted agent against COVID-19.
Graphical Abstract
Graphical Abstract</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33386025</pmid><doi>10.1093/bib/bbaa378</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4821-1654</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ACE2 Angiotensin Angiotensin-converting enzyme 2 Antiviral agents Binding Case Study Catechin Catechin - chemistry Catechin - pharmacology Catechin - therapeutic use Cathepsin L Chymotrypsin Computer applications Coronaviruses COVID-19 COVID-19 - virology COVID-19 Drug Treatment Cysteine proteinase Disease transmission DNA-directed RNA polymerase Drug development Free energy Glycoproteins Humans Hydrophobicity Molecular Docking Simulation Molecular dynamics Molecular Dynamics Simulation Molecular interactions Nucleocapsids Pandemics Peptidyl-dipeptidase A Polyphenols - pharmacology Polyphenols - therapeutic use Proteins Respiratory diseases RNA polymerase RNA-directed RNA polymerase SARS-CoV-2 - drug effects Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Vaccines Viral diseases Viruses |
title | Identifying the natural polyphenol catechin as a multi-targeted agent against SARS-CoV-2 for the plausible therapy of COVID-19: an integrated computational approach |
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