In silico and in vitro identification of candidate SIRT1 activators from Indonesian medicinal plants compounds database
[Display omitted] •Structure-based pharmacophores screening predicted that mulberrin as the potential candidate SIRT1 activator.•Ligand-based pharmacophores screening predicted that gartanin, quinidine, and quinine are the likely candidates SIRT1 activator.•The MM-GB(PB)SA calculations confirmed tha...
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Veröffentlicht in: | Computational biology and chemistry 2019-12, Vol.83, p.107096-107096, Article 107096 |
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•Structure-based pharmacophores screening predicted that mulberrin as the potential candidate SIRT1 activator.•Ligand-based pharmacophores screening predicted that gartanin, quinidine, and quinine are the likely candidates SIRT1 activator.•The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, and quinine showed activity at SIRT1 allosteric region.•Mulberrin, gartanin, quinidine, and quinine have been proven by in vitro assay as SIRT1 activator candidates.
Sirtuin 1 (SIRT1) is a class III family of protein histone deacetylases involved in NAD+-dependent deacetylation reactions. It has been suggested that SIRT1 activators may have a protective role against type 2 diabetes, the aging process, and inflammation. This study aimed to explore and identify medicinal plant compounds from Indonesian Herbal Database (HerbalDB) that might potentially become a candidate for SIRT1 activators through a combination of in silico and in vitro methods. Two pharmacophore models were developed using co-crystalized ligands that allosterically bind with SIRT1 similar to the putative ligands used by SIRT1 activators. Then, these were used for the virtual screening of HerbalDB. The identified compounds were subjected to molecular docking and 50 ns molecular dynamics simulation. Molecular dynamics simulation was analyzed using MM-GB(PB)SA methods. The compounds identified by these methods were tested in an in vitro study using a SIRT-Glo™ luminescence assay. Virtual screening using structure-based pharmacophores predicted that mulberrin as the best candidate SIRT1 activator. Virtual screening using ligand-based pharmacophores predicted that gartanin, quinidine, and quinine to be the best candidates as SIRT1 activators. The molecular docking studies showed the important residues involved were Ile223 and Ile227 at the allosteric region. The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, quinine showed activity at allosteric region and their EC50 in vitro values are 2.10; 1.79; 1.71; 1.14 μM, respectively. Based on in silico and in vitro study results, mulberin, gartanin, quinidine, and quinine had good activity as SIRT1 activators. |
doi_str_mv | 10.1016/j.compbiolchem.2019.107096 |
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•Structure-based pharmacophores screening predicted that mulberrin as the potential candidate SIRT1 activator.•Ligand-based pharmacophores screening predicted that gartanin, quinidine, and quinine are the likely candidates SIRT1 activator.•The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, and quinine showed activity at SIRT1 allosteric region.•Mulberrin, gartanin, quinidine, and quinine have been proven by in vitro assay as SIRT1 activator candidates.
Sirtuin 1 (SIRT1) is a class III family of protein histone deacetylases involved in NAD+-dependent deacetylation reactions. It has been suggested that SIRT1 activators may have a protective role against type 2 diabetes, the aging process, and inflammation. This study aimed to explore and identify medicinal plant compounds from Indonesian Herbal Database (HerbalDB) that might potentially become a candidate for SIRT1 activators through a combination of in silico and in vitro methods. Two pharmacophore models were developed using co-crystalized ligands that allosterically bind with SIRT1 similar to the putative ligands used by SIRT1 activators. Then, these were used for the virtual screening of HerbalDB. The identified compounds were subjected to molecular docking and 50 ns molecular dynamics simulation. Molecular dynamics simulation was analyzed using MM-GB(PB)SA methods. The compounds identified by these methods were tested in an in vitro study using a SIRT-Glo™ luminescence assay. Virtual screening using structure-based pharmacophores predicted that mulberrin as the best candidate SIRT1 activator. Virtual screening using ligand-based pharmacophores predicted that gartanin, quinidine, and quinine to be the best candidates as SIRT1 activators. The molecular docking studies showed the important residues involved were Ile223 and Ile227 at the allosteric region. The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, quinine showed activity at allosteric region and their EC50 in vitro values are 2.10; 1.79; 1.71; 1.14 μM, respectively. Based on in silico and in vitro study results, mulberin, gartanin, quinidine, and quinine had good activity as SIRT1 activators.</description><identifier>ISSN: 1476-9271</identifier><identifier>EISSN: 1476-928X</identifier><identifier>DOI: 10.1016/j.compbiolchem.2019.107096</identifier><identifier>PMID: 31377446</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Databases, Factual ; Humans ; Indonesia ; Indonesia medicinal plants database (HerbalDB) ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Pharmacophore-based ; Plants, Medicinal - chemistry ; SIRT1 activator ; Sirtuin 1 - analysis ; Sirtuin 1 - metabolism ; Virtual screening</subject><ispartof>Computational biology and chemistry, 2019-12, Vol.83, p.107096-107096, Article 107096</ispartof><rights>2019 The Authors</rights><rights>Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-13e0a77f1e8d911d734081e495c8cdd0dc67e93e8b966d09372513b8c06cfbd13</citedby><cites>FETCH-LOGICAL-c432t-13e0a77f1e8d911d734081e495c8cdd0dc67e93e8b966d09372513b8c06cfbd13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compbiolchem.2019.107096$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31377446$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Azminah, Azminah</creatorcontrib><creatorcontrib>Erlina, Linda</creatorcontrib><creatorcontrib>Radji, Maksum</creatorcontrib><creatorcontrib>Mun’im, Abdul</creatorcontrib><creatorcontrib>Syahdi, Rezi Riadhi</creatorcontrib><creatorcontrib>Yanuar, Arry</creatorcontrib><title>In silico and in vitro identification of candidate SIRT1 activators from Indonesian medicinal plants compounds database</title><title>Computational biology and chemistry</title><addtitle>Comput Biol Chem</addtitle><description>[Display omitted]
•Structure-based pharmacophores screening predicted that mulberrin as the potential candidate SIRT1 activator.•Ligand-based pharmacophores screening predicted that gartanin, quinidine, and quinine are the likely candidates SIRT1 activator.•The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, and quinine showed activity at SIRT1 allosteric region.•Mulberrin, gartanin, quinidine, and quinine have been proven by in vitro assay as SIRT1 activator candidates.
Sirtuin 1 (SIRT1) is a class III family of protein histone deacetylases involved in NAD+-dependent deacetylation reactions. It has been suggested that SIRT1 activators may have a protective role against type 2 diabetes, the aging process, and inflammation. This study aimed to explore and identify medicinal plant compounds from Indonesian Herbal Database (HerbalDB) that might potentially become a candidate for SIRT1 activators through a combination of in silico and in vitro methods. Two pharmacophore models were developed using co-crystalized ligands that allosterically bind with SIRT1 similar to the putative ligands used by SIRT1 activators. Then, these were used for the virtual screening of HerbalDB. The identified compounds were subjected to molecular docking and 50 ns molecular dynamics simulation. Molecular dynamics simulation was analyzed using MM-GB(PB)SA methods. The compounds identified by these methods were tested in an in vitro study using a SIRT-Glo™ luminescence assay. Virtual screening using structure-based pharmacophores predicted that mulberrin as the best candidate SIRT1 activator. Virtual screening using ligand-based pharmacophores predicted that gartanin, quinidine, and quinine to be the best candidates as SIRT1 activators. The molecular docking studies showed the important residues involved were Ile223 and Ile227 at the allosteric region. The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, quinine showed activity at allosteric region and their EC50 in vitro values are 2.10; 1.79; 1.71; 1.14 μM, respectively. Based on in silico and in vitro study results, mulberin, gartanin, quinidine, and quinine had good activity as SIRT1 activators.</description><subject>Databases, Factual</subject><subject>Humans</subject><subject>Indonesia</subject><subject>Indonesia medicinal plants database (HerbalDB)</subject><subject>Molecular Docking Simulation</subject><subject>Molecular Dynamics Simulation</subject><subject>Pharmacophore-based</subject><subject>Plants, Medicinal - chemistry</subject><subject>SIRT1 activator</subject><subject>Sirtuin 1 - analysis</subject><subject>Sirtuin 1 - metabolism</subject><subject>Virtual screening</subject><issn>1476-9271</issn><issn>1476-928X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkE9vFDEMxSNERUvhK6CIE5ddkslMMsMNtfxZqVIl2krcoozjEV7NJEuSXcS3J6stFUdOtuTn5-cfY2-lWEsh9fvtGuKyGynO8AOXdSPkUAdGDPoZu5Ct0auh6b8_f-qNPGcvc94K0SghuhfsXEllTNvqC_ZrE3immSByFzynwA9UUuTkMRSaCFyhGHicONQ5eVeQ322-3UvuoNDBlZgyn1Jc-Cb4GDCTC3xBT0DBzXw3u1AyP-aN--AzrwZudBlfsbPJzRlfP9ZL9vD50_3V19XN7ZfN1cebFbSqKSupUDhjJom9H6T0RrWil9gOHfTgvfCgDQ4K-3HQ2otBmaaTauxBaJhGL9Ule3fy3aX4c4-52IUy4FxzYdxn2zS670xnjKjSDycppJhzwsnuEi0u_bZS2CN4u7X_grdH8PYEvi6_ebyzH-v7T6t_SVfB9UmA9dsDYbIZCANUVAmhWB_pf-78AbjAnPE</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Azminah, Azminah</creator><creator>Erlina, Linda</creator><creator>Radji, Maksum</creator><creator>Mun’im, Abdul</creator><creator>Syahdi, Rezi Riadhi</creator><creator>Yanuar, Arry</creator><general>Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><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>7X8</scope></search><sort><creationdate>201912</creationdate><title>In silico and in vitro identification of candidate SIRT1 activators from Indonesian medicinal plants compounds database</title><author>Azminah, Azminah ; Erlina, Linda ; Radji, Maksum ; Mun’im, Abdul ; Syahdi, Rezi Riadhi ; Yanuar, Arry</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-13e0a77f1e8d911d734081e495c8cdd0dc67e93e8b966d09372513b8c06cfbd13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Databases, Factual</topic><topic>Humans</topic><topic>Indonesia</topic><topic>Indonesia medicinal plants database (HerbalDB)</topic><topic>Molecular Docking Simulation</topic><topic>Molecular Dynamics Simulation</topic><topic>Pharmacophore-based</topic><topic>Plants, Medicinal - chemistry</topic><topic>SIRT1 activator</topic><topic>Sirtuin 1 - analysis</topic><topic>Sirtuin 1 - metabolism</topic><topic>Virtual screening</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Azminah, Azminah</creatorcontrib><creatorcontrib>Erlina, Linda</creatorcontrib><creatorcontrib>Radji, Maksum</creatorcontrib><creatorcontrib>Mun’im, Abdul</creatorcontrib><creatorcontrib>Syahdi, Rezi Riadhi</creatorcontrib><creatorcontrib>Yanuar, Arry</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computational biology and chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Azminah, Azminah</au><au>Erlina, Linda</au><au>Radji, Maksum</au><au>Mun’im, Abdul</au><au>Syahdi, Rezi Riadhi</au><au>Yanuar, Arry</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico and in vitro identification of candidate SIRT1 activators from Indonesian medicinal plants compounds database</atitle><jtitle>Computational biology and chemistry</jtitle><addtitle>Comput Biol Chem</addtitle><date>2019-12</date><risdate>2019</risdate><volume>83</volume><spage>107096</spage><epage>107096</epage><pages>107096-107096</pages><artnum>107096</artnum><issn>1476-9271</issn><eissn>1476-928X</eissn><abstract>[Display omitted]
•Structure-based pharmacophores screening predicted that mulberrin as the potential candidate SIRT1 activator.•Ligand-based pharmacophores screening predicted that gartanin, quinidine, and quinine are the likely candidates SIRT1 activator.•The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, and quinine showed activity at SIRT1 allosteric region.•Mulberrin, gartanin, quinidine, and quinine have been proven by in vitro assay as SIRT1 activator candidates.
Sirtuin 1 (SIRT1) is a class III family of protein histone deacetylases involved in NAD+-dependent deacetylation reactions. It has been suggested that SIRT1 activators may have a protective role against type 2 diabetes, the aging process, and inflammation. This study aimed to explore and identify medicinal plant compounds from Indonesian Herbal Database (HerbalDB) that might potentially become a candidate for SIRT1 activators through a combination of in silico and in vitro methods. Two pharmacophore models were developed using co-crystalized ligands that allosterically bind with SIRT1 similar to the putative ligands used by SIRT1 activators. Then, these were used for the virtual screening of HerbalDB. The identified compounds were subjected to molecular docking and 50 ns molecular dynamics simulation. Molecular dynamics simulation was analyzed using MM-GB(PB)SA methods. The compounds identified by these methods were tested in an in vitro study using a SIRT-Glo™ luminescence assay. Virtual screening using structure-based pharmacophores predicted that mulberrin as the best candidate SIRT1 activator. Virtual screening using ligand-based pharmacophores predicted that gartanin, quinidine, and quinine to be the best candidates as SIRT1 activators. The molecular docking studies showed the important residues involved were Ile223 and Ile227 at the allosteric region. The MM-GB(PB)SA calculations confirmed that mulberrin, gartanin, quinidine, quinine showed activity at allosteric region and their EC50 in vitro values are 2.10; 1.79; 1.71; 1.14 μM, respectively. Based on in silico and in vitro study results, mulberin, gartanin, quinidine, and quinine had good activity as SIRT1 activators.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31377446</pmid><doi>10.1016/j.compbiolchem.2019.107096</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Databases, Factual Humans Indonesia Indonesia medicinal plants database (HerbalDB) Molecular Docking Simulation Molecular Dynamics Simulation Pharmacophore-based Plants, Medicinal - chemistry SIRT1 activator Sirtuin 1 - analysis Sirtuin 1 - metabolism Virtual screening |
title | In silico and in vitro identification of candidate SIRT1 activators from Indonesian medicinal plants compounds database |
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