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In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach
Background Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduc...
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Published in: | Bulletin of the National Research Centre 2022-04, Vol.46 (1), p.1-11, Article 109 |
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description | Background
Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduction driven by non-structural protein 5B (NS5B), which is a possible target spot for the development of anti-HCV vaccines, causes genomic diversity. Sofosbuvir, a new oral NS5B inhibitor, was recently licensed by the US Food and Drug Administration for the cure of HCV. Unfortunately, it has received a lot of attention due to its financial concerns and adverse effects. As a result, there is a pressing need to explore alternative HCV treatments that are both cost-effective and free of adverse effects. In this study, we used a Pharmacoinformatics-based strategy to identify and design bioactive molecules that are anti-HCV NS5B. The simulation outcomes are compared to Sofosbuvir simulation outcomes.
Results
Based on docking simulation, the proposed molecules have high-binding energies at the range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir. Furthermore, when compared to Sofosbuvir, which has a drug score of 0.31 (31% performance), the ADMET analysis of the lead compound demonstrates superior performance with a drug score of 0.88 (88% performance).
Conclusions
The findings revealed that alternative bioactive molecules vary substantially in docking rankings at a range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir, the FDA-approved NS5B enzyme inhibitor, and when compared to Sofosbuvir, which has a drug score of 0.31, the ADMET analysis of the chosen compound (
1c
) demonstrates superior performance with a drug score of 0.88. |
doi_str_mv | 10.1186/s42269-022-00796-y |
format | article |
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Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduction driven by non-structural protein 5B (NS5B), which is a possible target spot for the development of anti-HCV vaccines, causes genomic diversity. Sofosbuvir, a new oral NS5B inhibitor, was recently licensed by the US Food and Drug Administration for the cure of HCV. Unfortunately, it has received a lot of attention due to its financial concerns and adverse effects. As a result, there is a pressing need to explore alternative HCV treatments that are both cost-effective and free of adverse effects. In this study, we used a Pharmacoinformatics-based strategy to identify and design bioactive molecules that are anti-HCV NS5B. The simulation outcomes are compared to Sofosbuvir simulation outcomes.
Results
Based on docking simulation, the proposed molecules have high-binding energies at the range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir. Furthermore, when compared to Sofosbuvir, which has a drug score of 0.31 (31% performance), the ADMET analysis of the lead compound demonstrates superior performance with a drug score of 0.88 (88% performance).
Conclusions
The findings revealed that alternative bioactive molecules vary substantially in docking rankings at a range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir, the FDA-approved NS5B enzyme inhibitor, and when compared to Sofosbuvir, which has a drug score of 0.31, the ADMET analysis of the chosen compound (
1c
) demonstrates superior performance with a drug score of 0.88.</description><identifier>ISSN: 2522-8307</identifier><identifier>EISSN: 2522-8307</identifier><identifier>DOI: 10.1186/s42269-022-00796-y</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biological activity ; Chronic infection ; Cirrhosis ; Docking ; Drug discovering ; Enzyme inhibitors ; Hepatitis ; Hepatitis C ; Humanities and Social Sciences ; In silico design ; Lead compounds ; Liver cirrhosis ; Liver diseases ; multidisciplinary ; NS5B inhibitors ; Pharmaceutical Industries ; Pharmacoinformatics approach ; Pharmacokinetics ; Pharmacology ; RNA-directed RNA polymerase ; Science ; Science (multidisciplinary) ; Side effects ; Simulation ; Target spot ; Vaccines ; Viruses</subject><ispartof>Bulletin of the National Research Centre, 2022-04, Vol.46 (1), p.1-11, Article 109</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375y-86065a5315e5a2dc2e25cf193770645db8341d4da035fe76e5784d34337c1ce23</citedby><cites>FETCH-LOGICAL-c375y-86065a5315e5a2dc2e25cf193770645db8341d4da035fe76e5784d34337c1ce23</cites><orcidid>0000-0002-3065-6575</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2650318602?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,38493,43871,44566</link.rule.ids></links><search><creatorcontrib>Ejeh, Stephen</creatorcontrib><creatorcontrib>Uzairu, Adamu</creatorcontrib><creatorcontrib>Shallangwa, Gideon A.</creatorcontrib><creatorcontrib>Abechi, Stephen E.</creatorcontrib><creatorcontrib>Ibrahim, Muhammad Tukur</creatorcontrib><title>In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach</title><title>Bulletin of the National Research Centre</title><addtitle>Bull Natl Res Cent</addtitle><description>Background
Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduction driven by non-structural protein 5B (NS5B), which is a possible target spot for the development of anti-HCV vaccines, causes genomic diversity. Sofosbuvir, a new oral NS5B inhibitor, was recently licensed by the US Food and Drug Administration for the cure of HCV. Unfortunately, it has received a lot of attention due to its financial concerns and adverse effects. As a result, there is a pressing need to explore alternative HCV treatments that are both cost-effective and free of adverse effects. In this study, we used a Pharmacoinformatics-based strategy to identify and design bioactive molecules that are anti-HCV NS5B. The simulation outcomes are compared to Sofosbuvir simulation outcomes.
Results
Based on docking simulation, the proposed molecules have high-binding energies at the range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir. Furthermore, when compared to Sofosbuvir, which has a drug score of 0.31 (31% performance), the ADMET analysis of the lead compound demonstrates superior performance with a drug score of 0.88 (88% performance).
Conclusions
The findings revealed that alternative bioactive molecules vary substantially in docking rankings at a range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir, the FDA-approved NS5B enzyme inhibitor, and when compared to Sofosbuvir, which has a drug score of 0.31, the ADMET analysis of the chosen compound (
1c
) demonstrates superior performance with a drug score of 0.88.</description><subject>Biological activity</subject><subject>Chronic infection</subject><subject>Cirrhosis</subject><subject>Docking</subject><subject>Drug discovering</subject><subject>Enzyme inhibitors</subject><subject>Hepatitis</subject><subject>Hepatitis C</subject><subject>Humanities and Social Sciences</subject><subject>In silico design</subject><subject>Lead compounds</subject><subject>Liver cirrhosis</subject><subject>Liver diseases</subject><subject>multidisciplinary</subject><subject>NS5B inhibitors</subject><subject>Pharmaceutical Industries</subject><subject>Pharmacoinformatics approach</subject><subject>Pharmacokinetics</subject><subject>Pharmacology</subject><subject>RNA-directed RNA polymerase</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Side effects</subject><subject>Simulation</subject><subject>Target spot</subject><subject>Vaccines</subject><subject>Viruses</subject><issn>2522-8307</issn><issn>2522-8307</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU9PGzEQxVeISkXAF-jJEuct4_-7vbURpZEQHKBny3hnE6eJvbU3kXLkm9fJIuiJk8ej934ez6uqLxS-Utqo6ywYU20NjNUAulX1_qQ6Y7JcGw769L_6c3WZ8woAGBUAgp1VL_NAsl97F0mH2S8CsaEjw9KmjXXxjw84epeJDzvMo1_Y0cdAYk9y3CAJcYdrssShtEefyYzsfNpmcv8ofxTL0j_7Mab87Y3nQx9LcUTaYUjRuuVF9am364yXr-d59fvnzdPsV333cDuffb-rHddyXzcKlLSSU4nSss4xZNL1tOVagxKye264oJ3oLHDZo1YodSM6LjjXjjpk_LyaT9wu2pUZkt_YtDfRenNsxLQwNpXJ1mhEI0FZ1SOzUrQO27LWHi1FpyXq9sC6mljlC3-3ZTNmFbcplPENUxJ4SQUOKjapXIo5J-zfXqVgDsmZKTlTkjPH5My-mPhkykUcFpje0R-4_gG2AZ1X</recordid><startdate>20220415</startdate><enddate>20220415</enddate><creator>Ejeh, Stephen</creator><creator>Uzairu, Adamu</creator><creator>Shallangwa, Gideon A.</creator><creator>Abechi, Stephen E.</creator><creator>Ibrahim, Muhammad Tukur</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7X7</scope><scope>7XB</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3065-6575</orcidid></search><sort><creationdate>20220415</creationdate><title>In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach</title><author>Ejeh, Stephen ; Uzairu, Adamu ; Shallangwa, Gideon A. ; Abechi, Stephen E. ; Ibrahim, Muhammad Tukur</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375y-86065a5315e5a2dc2e25cf193770645db8341d4da035fe76e5784d34337c1ce23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biological activity</topic><topic>Chronic infection</topic><topic>Cirrhosis</topic><topic>Docking</topic><topic>Drug discovering</topic><topic>Enzyme inhibitors</topic><topic>Hepatitis</topic><topic>Hepatitis C</topic><topic>Humanities and Social Sciences</topic><topic>In silico design</topic><topic>Lead compounds</topic><topic>Liver cirrhosis</topic><topic>Liver diseases</topic><topic>multidisciplinary</topic><topic>NS5B inhibitors</topic><topic>Pharmaceutical Industries</topic><topic>Pharmacoinformatics approach</topic><topic>Pharmacokinetics</topic><topic>Pharmacology</topic><topic>RNA-directed RNA polymerase</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Side effects</topic><topic>Simulation</topic><topic>Target spot</topic><topic>Vaccines</topic><topic>Viruses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ejeh, Stephen</creatorcontrib><creatorcontrib>Uzairu, Adamu</creatorcontrib><creatorcontrib>Shallangwa, Gideon A.</creatorcontrib><creatorcontrib>Abechi, Stephen E.</creatorcontrib><creatorcontrib>Ibrahim, Muhammad Tukur</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Directory of Open Access Journals</collection><jtitle>Bulletin of the National Research Centre</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ejeh, Stephen</au><au>Uzairu, Adamu</au><au>Shallangwa, Gideon A.</au><au>Abechi, Stephen E.</au><au>Ibrahim, Muhammad Tukur</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach</atitle><jtitle>Bulletin of the National Research Centre</jtitle><stitle>Bull Natl Res Cent</stitle><date>2022-04-15</date><risdate>2022</risdate><volume>46</volume><issue>1</issue><spage>1</spage><epage>11</epage><pages>1-11</pages><artnum>109</artnum><issn>2522-8307</issn><eissn>2522-8307</eissn><abstract>Background
Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduction driven by non-structural protein 5B (NS5B), which is a possible target spot for the development of anti-HCV vaccines, causes genomic diversity. Sofosbuvir, a new oral NS5B inhibitor, was recently licensed by the US Food and Drug Administration for the cure of HCV. Unfortunately, it has received a lot of attention due to its financial concerns and adverse effects. As a result, there is a pressing need to explore alternative HCV treatments that are both cost-effective and free of adverse effects. In this study, we used a Pharmacoinformatics-based strategy to identify and design bioactive molecules that are anti-HCV NS5B. The simulation outcomes are compared to Sofosbuvir simulation outcomes.
Results
Based on docking simulation, the proposed molecules have high-binding energies at the range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir. Furthermore, when compared to Sofosbuvir, which has a drug score of 0.31 (31% performance), the ADMET analysis of the lead compound demonstrates superior performance with a drug score of 0.88 (88% performance).
Conclusions
The findings revealed that alternative bioactive molecules vary substantially in docking rankings at a range of − 41.71 to − 39.90 kcal/mol against − 30.34 kcal/mol of Sofosbuvir, the FDA-approved NS5B enzyme inhibitor, and when compared to Sofosbuvir, which has a drug score of 0.31, the ADMET analysis of the chosen compound (
1c
) demonstrates superior performance with a drug score of 0.88.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s42269-022-00796-y</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3065-6575</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biological activity Chronic infection Cirrhosis Docking Drug discovering Enzyme inhibitors Hepatitis Hepatitis C Humanities and Social Sciences In silico design Lead compounds Liver cirrhosis Liver diseases multidisciplinary NS5B inhibitors Pharmaceutical Industries Pharmacoinformatics approach Pharmacokinetics Pharmacology RNA-directed RNA polymerase Science Science (multidisciplinary) Side effects Simulation Target spot Vaccines Viruses |
title | In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach |
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