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In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides
Dengue has become a huge global health burden. It is currently recognized as the most rapidly spreading mosquito-borne viral disease. Yet, there are currently no licensed vaccines or specific therapeutics to manage the virus, thus, scaling up vector control approaches is important in controlling thi...
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Published in: | Biochemistry and biophysics reports 2021-12, Vol.28, p.101178-101178, Article 101178 |
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description | Dengue has become a huge global health burden. It is currently recognized as the most rapidly spreading mosquito-borne viral disease. Yet, there are currently no licensed vaccines or specific therapeutics to manage the virus, thus, scaling up vector control approaches is important in controlling this viral spread. This study aimed to identify and study in silico, potential anti-mosquito compounds targeting Juvenile hormone (JH) mediated pathways via the Mosquito Juvenile Hormone Binding Protein (MJHBP). The study was implemented using series of computational methods. The query compounds included pyrethroids and those derived from ZINC and ANPDB databases using a simple pharmacophore model in Molecular Operating Environment (MOE). Molecular docking of selected compounds’ library was implemented in MOE. The resultant high-score compounds were further validated by molecular dynamics simulation via Maestro 12.3 module and the respective Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA) binding energies computed. The study identified compounds-pyrethroids, natural and synthetic - with high docking energy scores (ranging from 10.91–12.34 kcal/mol). On further analysis of the high-ranking (in terms of docking scores) compounds using MD simulation, the compounds - Ekeberin D4, Maesanin, Silafluofen and ZINC16919139- revealed very low binding energies (−122.99, −72.91 -104.50 and,-74.94 kcal/mol respectively), fairly stable complex and interesting interaction with JH-binding site amino acid residues on MJHBP. Further studies can explore these compounds in vitro/in vivo in the search for more efficient mosquito vector control.
•Dengue is currently recognized as the most rapidly spreading mosquito-borne viral disease yet with limited options for treatment.•An in silico study to identify potential anti-vector (mosquito) compounds was conducted.•Promising compounds identified with very high binding affinity and interesting interactions with JH binding site of the target protein. |
doi_str_mv | 10.1016/j.bbrep.2021.101178 |
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•Dengue is currently recognized as the most rapidly spreading mosquito-borne viral disease yet with limited options for treatment.•An in silico study to identify potential anti-vector (mosquito) compounds was conducted.•Promising compounds identified with very high binding affinity and interesting interactions with JH binding site of the target protein.</description><identifier>ISSN: 2405-5808</identifier><identifier>EISSN: 2405-5808</identifier><identifier>DOI: 10.1016/j.bbrep.2021.101178</identifier><identifier>PMID: 34901473</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aedes mosquito ; Dengue ; In silico ; Insecticide ; Juvenile hormone ; Vector control</subject><ispartof>Biochemistry and biophysics reports, 2021-12, Vol.28, p.101178-101178, Article 101178</ispartof><rights>2021</rights><rights>2021 Published by Elsevier B.V.</rights><rights>2021 Published by Elsevier B.V. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-3818687733d01a545affc2993043d1fd093ac1d3cfecb5c58c2bfc4b092f44163</citedby><cites>FETCH-LOGICAL-c525t-3818687733d01a545affc2993043d1fd093ac1d3cfecb5c58c2bfc4b092f44163</cites><orcidid>0000-0002-1682-5547</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/PMC8640742/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2405580821002727$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34901473$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ononamadu, Chimaobi James</creatorcontrib><creatorcontrib>Abdalla, Mohnad</creatorcontrib><creatorcontrib>Ihegboro, Godwin Okwudiri</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Owolarafe, Tajudeen Alowonle</creatorcontrib><creatorcontrib>John, Timothy Datit</creatorcontrib><creatorcontrib>Tian, Qiang</creatorcontrib><title>In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides</title><title>Biochemistry and biophysics reports</title><addtitle>Biochem Biophys Rep</addtitle><description>Dengue has become a huge global health burden. It is currently recognized as the most rapidly spreading mosquito-borne viral disease. Yet, there are currently no licensed vaccines or specific therapeutics to manage the virus, thus, scaling up vector control approaches is important in controlling this viral spread. This study aimed to identify and study in silico, potential anti-mosquito compounds targeting Juvenile hormone (JH) mediated pathways via the Mosquito Juvenile Hormone Binding Protein (MJHBP). The study was implemented using series of computational methods. The query compounds included pyrethroids and those derived from ZINC and ANPDB databases using a simple pharmacophore model in Molecular Operating Environment (MOE). Molecular docking of selected compounds’ library was implemented in MOE. The resultant high-score compounds were further validated by molecular dynamics simulation via Maestro 12.3 module and the respective Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA) binding energies computed. The study identified compounds-pyrethroids, natural and synthetic - with high docking energy scores (ranging from 10.91–12.34 kcal/mol). On further analysis of the high-ranking (in terms of docking scores) compounds using MD simulation, the compounds - Ekeberin D4, Maesanin, Silafluofen and ZINC16919139- revealed very low binding energies (−122.99, −72.91 -104.50 and,-74.94 kcal/mol respectively), fairly stable complex and interesting interaction with JH-binding site amino acid residues on MJHBP. Further studies can explore these compounds in vitro/in vivo in the search for more efficient mosquito vector control.
•Dengue is currently recognized as the most rapidly spreading mosquito-borne viral disease yet with limited options for treatment.•An in silico study to identify potential anti-vector (mosquito) compounds was conducted.•Promising compounds identified with very high binding affinity and interesting interactions with JH binding site of the target protein.</description><subject>Aedes mosquito</subject><subject>Dengue</subject><subject>In silico</subject><subject>Insecticide</subject><subject>Juvenile hormone</subject><subject>Vector control</subject><issn>2405-5808</issn><issn>2405-5808</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9UstuFDEQHCEQiUK-AAn5GA6z-DWvA0gkAhIUBAfgavnRs-nVjD2xZ1bKB_GfeHdDlFw4uVVdXdVqV1G8ZnTFKKvfbVbGRJhWnHK2Q1jTPiuOuaRVWbW0ff6oPipOU9pQSlnF24rXL4sjITvKZCOOiz9XniQc0AaCDvyMPVo9Y_BEe0fSvLg7EnoyhXnX1EOGZyzHkG4XnAPZLFvwOAC5CXEMHohB79CvyRTzBHpy9u3r5fmPt8SGcQqLd4noRGzWRqdnSKQPkWTf9QJki3FJpCS_wc4ZRZ9ygTavlV4VL3o9JDi9f0-KX58__by4LK-_f7m6-Hhd2opXcyla1tZt0wjhKNOVrHTfW951gkrhWO9oJ7RlTtgerKls1VpueisN7XgvJavFSXF10HVBb9QUcdTxTgWNag-EuFY65p0GUFDVUgCl3JhOMsO7FqgAIYzRzunKZa0PB61pMSM4m-8X9fBE9GnH441ah61qa0kbybPA2b1ADLcLpFmNmCwMg_YQlqR4zShtOr6nigPVxpBShP7BhlG1y4vaqH1e1C4v6pCXPPXm8YYPM__SkQnvDwTIN98iRJUsgrfgMOa_yUfB_xr8BX1f1hI</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Ononamadu, Chimaobi James</creator><creator>Abdalla, Mohnad</creator><creator>Ihegboro, Godwin Okwudiri</creator><creator>Li, Jin</creator><creator>Owolarafe, Tajudeen Alowonle</creator><creator>John, Timothy Datit</creator><creator>Tian, Qiang</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1682-5547</orcidid></search><sort><creationdate>20211201</creationdate><title>In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides</title><author>Ononamadu, Chimaobi James ; Abdalla, Mohnad ; Ihegboro, Godwin Okwudiri ; Li, Jin ; Owolarafe, Tajudeen Alowonle ; John, Timothy Datit ; Tian, Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c525t-3818687733d01a545affc2993043d1fd093ac1d3cfecb5c58c2bfc4b092f44163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aedes mosquito</topic><topic>Dengue</topic><topic>In silico</topic><topic>Insecticide</topic><topic>Juvenile hormone</topic><topic>Vector control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ononamadu, Chimaobi James</creatorcontrib><creatorcontrib>Abdalla, Mohnad</creatorcontrib><creatorcontrib>Ihegboro, Godwin Okwudiri</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Owolarafe, Tajudeen Alowonle</creatorcontrib><creatorcontrib>John, Timothy Datit</creatorcontrib><creatorcontrib>Tian, Qiang</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Biochemistry and biophysics reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ononamadu, Chimaobi James</au><au>Abdalla, Mohnad</au><au>Ihegboro, Godwin Okwudiri</au><au>Li, Jin</au><au>Owolarafe, Tajudeen Alowonle</au><au>John, Timothy Datit</au><au>Tian, Qiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides</atitle><jtitle>Biochemistry and biophysics reports</jtitle><addtitle>Biochem Biophys Rep</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>28</volume><spage>101178</spage><epage>101178</epage><pages>101178-101178</pages><artnum>101178</artnum><issn>2405-5808</issn><eissn>2405-5808</eissn><abstract>Dengue has become a huge global health burden. It is currently recognized as the most rapidly spreading mosquito-borne viral disease. Yet, there are currently no licensed vaccines or specific therapeutics to manage the virus, thus, scaling up vector control approaches is important in controlling this viral spread. This study aimed to identify and study in silico, potential anti-mosquito compounds targeting Juvenile hormone (JH) mediated pathways via the Mosquito Juvenile Hormone Binding Protein (MJHBP). The study was implemented using series of computational methods. The query compounds included pyrethroids and those derived from ZINC and ANPDB databases using a simple pharmacophore model in Molecular Operating Environment (MOE). Molecular docking of selected compounds’ library was implemented in MOE. The resultant high-score compounds were further validated by molecular dynamics simulation via Maestro 12.3 module and the respective Prime/Molecular Mechanics Generalized Born Surface Area (Prime/MM-GBSA) binding energies computed. The study identified compounds-pyrethroids, natural and synthetic - with high docking energy scores (ranging from 10.91–12.34 kcal/mol). On further analysis of the high-ranking (in terms of docking scores) compounds using MD simulation, the compounds - Ekeberin D4, Maesanin, Silafluofen and ZINC16919139- revealed very low binding energies (−122.99, −72.91 -104.50 and,-74.94 kcal/mol respectively), fairly stable complex and interesting interaction with JH-binding site amino acid residues on MJHBP. Further studies can explore these compounds in vitro/in vivo in the search for more efficient mosquito vector control.
•Dengue is currently recognized as the most rapidly spreading mosquito-borne viral disease yet with limited options for treatment.•An in silico study to identify potential anti-vector (mosquito) compounds was conducted.•Promising compounds identified with very high binding affinity and interesting interactions with JH binding site of the target protein.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>34901473</pmid><doi>10.1016/j.bbrep.2021.101178</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1682-5547</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aedes mosquito Dengue In silico Insecticide Juvenile hormone Vector control |
title | In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides |
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