Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies
Research studies on human tyrosinase inhibitors and exploration for better cytotoxic agents remain an important line in drug discovery and development at the present time. Recently, multiple inhibitors are being used to cure melanogenesis by targeting human tyrosinase. A series of coumarin (C1–C9)-,...
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description | Research studies on human tyrosinase inhibitors and exploration for better cytotoxic agents remain an important line in drug discovery and development at the present time. Recently, multiple inhibitors are being used to cure melanogenesis by targeting human tyrosinase. A series of coumarin (C1–C9)-, thymol (T1–T8)- and vanillin (V1–V8)-based derivatives have been theoretically analyzed for their inhibitory effects against human tyrosinase. The crystal structure of human tyrosinase is not available in Protein Data Bank. Therefore, homology modeling approach was used to predict three-dimensional (3D) crystal structure of human tyrosinase. The reliability and efficacy of predicted 3D structure were validated by using Ramachandran plots which indicate that 95.01 % residues are present in favored regions. Moreover, multiple computational approaches such as molecular docking and molecular dynamic (MD) simulation along with various online tools were employed to screen the best inhibitor against melanogenesis. The results revealed that V7 and C9 compounds showed significant binding energy values (−7.79 and −7.40 kcal/mol, respectively) compared with the standard drugs such as kojic acid (−4.21 kcal/mol) and arbutin (−4.62 kcal/mol). Moreover, MD simulation results also justified that V7 showed little fluctuations throughout the simulation period as depicted by the root mean square deviation and root mean square fluctuation graphs. Thus, the present in silico study provides a deeper insight into the structural attributes of V7 compound and its overall molecular interactions against human tyrosinase and gives a hypothetical gateway to use this compound as a potential inhibitor against melanogenesis. |
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Recently, multiple inhibitors are being used to cure melanogenesis by targeting human tyrosinase. A series of coumarin (C1–C9)-, thymol (T1–T8)- and vanillin (V1–V8)-based derivatives have been theoretically analyzed for their inhibitory effects against human tyrosinase. The crystal structure of human tyrosinase is not available in Protein Data Bank. Therefore, homology modeling approach was used to predict three-dimensional (3D) crystal structure of human tyrosinase. The reliability and efficacy of predicted 3D structure were validated by using Ramachandran plots which indicate that 95.01 % residues are present in favored regions. Moreover, multiple computational approaches such as molecular docking and molecular dynamic (MD) simulation along with various online tools were employed to screen the best inhibitor against melanogenesis. The results revealed that V7 and C9 compounds showed significant binding energy values (−7.79 and −7.40 kcal/mol, respectively) compared with the standard drugs such as kojic acid (−4.21 kcal/mol) and arbutin (−4.62 kcal/mol). Moreover, MD simulation results also justified that V7 showed little fluctuations throughout the simulation period as depicted by the root mean square deviation and root mean square fluctuation graphs. Thus, the present in silico study provides a deeper insight into the structural attributes of V7 compound and its overall molecular interactions against human tyrosinase and gives a hypothetical gateway to use this compound as a potential inhibitor against melanogenesis.</description><identifier>ISSN: 1913-2751</identifier><identifier>EISSN: 1867-1462</identifier><identifier>DOI: 10.1007/s12539-016-0171-x</identifier><identifier>PMID: 27098808</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animals ; Biomedical and Life Sciences ; Computational Biology/Bioinformatics ; Computational Science and Engineering ; Computer Appl. in Life Sciences ; Computer applications ; Computer simulation ; Coumarin ; Crystal structure ; Cytotoxic agents ; Cytotoxicity ; Data banks ; Drug discovery ; Enzyme Inhibitors - chemistry ; Enzyme Inhibitors - pharmacology ; Enzyme Inhibitors - toxicity ; Exploration ; Health Sciences ; Homology ; Humans ; Inhibitors ; Kojic acid ; Life Sciences ; Ligands ; Mathematical and Computational Physics ; Mathematical models ; Medicine ; Molecular docking ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Molecular interactions ; Molecular modelling ; Monophenol Monooxygenase - antagonists & inhibitors ; Monophenol Monooxygenase - chemistry ; Original Research Article ; Rats ; Reference Standards ; Simulation ; Statistics for Life Sciences ; Structure-Activity Relationship ; Theoretical ; Theoretical and Computational Chemistry ; Three dimensional models ; Thymol ; Toxicity Tests, Acute ; Tyrosinase ; Vanillin ; Variation</subject><ispartof>Interdisciplinary sciences : computational life sciences, 2018-03, Vol.10 (1), p.68-80</ispartof><rights>International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg 2016</rights><rights>Interdisciplinary Sciences: Computational Life Sciences is a copyright of Springer, (2016). All Rights Reserved.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-fda12ce632384a9a5f169ee5a9f388afda3f569600dfe82bc816ecbb3e4aa97e3</citedby><cites>FETCH-LOGICAL-c372t-fda12ce632384a9a5f169ee5a9f388afda3f569600dfe82bc816ecbb3e4aa97e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12539-016-0171-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12539-016-0171-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27098808$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hassan, Mubashir</creatorcontrib><creatorcontrib>Ashraf, Zaman</creatorcontrib><creatorcontrib>Abbas, Qamar</creatorcontrib><creatorcontrib>Raza, Hussain</creatorcontrib><creatorcontrib>Seo, Sung-Yum</creatorcontrib><title>Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies</title><title>Interdisciplinary sciences : computational life sciences</title><addtitle>Interdiscip Sci Comput Life Sci</addtitle><addtitle>Interdiscip Sci</addtitle><description>Research studies on human tyrosinase inhibitors and exploration for better cytotoxic agents remain an important line in drug discovery and development at the present time. Recently, multiple inhibitors are being used to cure melanogenesis by targeting human tyrosinase. A series of coumarin (C1–C9)-, thymol (T1–T8)- and vanillin (V1–V8)-based derivatives have been theoretically analyzed for their inhibitory effects against human tyrosinase. The crystal structure of human tyrosinase is not available in Protein Data Bank. Therefore, homology modeling approach was used to predict three-dimensional (3D) crystal structure of human tyrosinase. The reliability and efficacy of predicted 3D structure were validated by using Ramachandran plots which indicate that 95.01 % residues are present in favored regions. Moreover, multiple computational approaches such as molecular docking and molecular dynamic (MD) simulation along with various online tools were employed to screen the best inhibitor against melanogenesis. The results revealed that V7 and C9 compounds showed significant binding energy values (−7.79 and −7.40 kcal/mol, respectively) compared with the standard drugs such as kojic acid (−4.21 kcal/mol) and arbutin (−4.62 kcal/mol). Moreover, MD simulation results also justified that V7 showed little fluctuations throughout the simulation period as depicted by the root mean square deviation and root mean square fluctuation graphs. Thus, the present in silico study provides a deeper insight into the structural attributes of V7 compound and its overall molecular interactions against human tyrosinase and gives a hypothetical gateway to use this compound as a potential inhibitor against melanogenesis.</description><subject>Animals</subject><subject>Biomedical and Life Sciences</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Appl. in Life Sciences</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Coumarin</subject><subject>Crystal structure</subject><subject>Cytotoxic agents</subject><subject>Cytotoxicity</subject><subject>Data banks</subject><subject>Drug discovery</subject><subject>Enzyme Inhibitors - chemistry</subject><subject>Enzyme Inhibitors - pharmacology</subject><subject>Enzyme Inhibitors - toxicity</subject><subject>Exploration</subject><subject>Health Sciences</subject><subject>Homology</subject><subject>Humans</subject><subject>Inhibitors</subject><subject>Kojic acid</subject><subject>Life Sciences</subject><subject>Ligands</subject><subject>Mathematical and Computational Physics</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Molecular docking</subject><subject>Molecular Docking Simulation</subject><subject>Molecular Dynamics Simulation</subject><subject>Molecular interactions</subject><subject>Molecular modelling</subject><subject>Monophenol Monooxygenase - antagonists & inhibitors</subject><subject>Monophenol Monooxygenase - chemistry</subject><subject>Original Research Article</subject><subject>Rats</subject><subject>Reference Standards</subject><subject>Simulation</subject><subject>Statistics for Life Sciences</subject><subject>Structure-Activity Relationship</subject><subject>Theoretical</subject><subject>Theoretical and Computational Chemistry</subject><subject>Three dimensional models</subject><subject>Thymol</subject><subject>Toxicity Tests, Acute</subject><subject>Tyrosinase</subject><subject>Vanillin</subject><subject>Variation</subject><issn>1913-2751</issn><issn>1867-1462</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU9P3DAQxa2KqvzrB-BSWeqlh4Z67I1jH6uFAhItB-jZcpIxmCb21k6q3W-P6VKQKmHJ8pPmN2-seYQcATsGxpovGXgtdMVAlttAtX5D9kDJpoKF5DtFaxAVb2rYJfs53zMmF0qwd2SXN0wrxdQecafr1RCTnXwMNDr6I_7BgZ7Pow30ZpNi9sFmpBfhzrd-iinTdkO_xwG7ebCpqB4HH24_05PY_SqC2tDTaz-W6l_L62nuPeZD8tbZIeP7p_eA_Px2erM8ry6vzi6WXy-rTjR8qlxvgXcoBRdqYbWtHUiNWFvthFK2lIWrpZaM9Q4VbzsFEru2FbiwVjcoDsinre8qxd8z5smMPnc4DDZgnLMBxWU5GlRBP_6H3sc5hfI7wxmwRoDQvFCwpbqyi5zQmVXyo00bA8w8hmC2IZgSgnkMwaxLz4cn57kdsX_u-Lf1AvAtkEsp3GJ6Gf266wO_oZOy</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Hassan, Mubashir</creator><creator>Ashraf, Zaman</creator><creator>Abbas, Qamar</creator><creator>Raza, Hussain</creator><creator>Seo, Sung-Yum</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7SC</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope></search><sort><creationdate>20180301</creationdate><title>Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies</title><author>Hassan, Mubashir ; Ashraf, Zaman ; Abbas, Qamar ; Raza, Hussain ; Seo, Sung-Yum</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-fda12ce632384a9a5f169ee5a9f388afda3f569600dfe82bc816ecbb3e4aa97e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>Biomedical and Life Sciences</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computational Science and Engineering</topic><topic>Computer Appl. in Life Sciences</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Coumarin</topic><topic>Crystal structure</topic><topic>Cytotoxic agents</topic><topic>Cytotoxicity</topic><topic>Data banks</topic><topic>Drug discovery</topic><topic>Enzyme Inhibitors - 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Academic</collection><jtitle>Interdisciplinary sciences : computational life sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hassan, Mubashir</au><au>Ashraf, Zaman</au><au>Abbas, Qamar</au><au>Raza, Hussain</au><au>Seo, Sung-Yum</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies</atitle><jtitle>Interdisciplinary sciences : computational life sciences</jtitle><stitle>Interdiscip Sci Comput Life Sci</stitle><addtitle>Interdiscip Sci</addtitle><date>2018-03-01</date><risdate>2018</risdate><volume>10</volume><issue>1</issue><spage>68</spage><epage>80</epage><pages>68-80</pages><issn>1913-2751</issn><eissn>1867-1462</eissn><abstract>Research studies on human tyrosinase inhibitors and exploration for better cytotoxic agents remain an important line in drug discovery and development at the present time. Recently, multiple inhibitors are being used to cure melanogenesis by targeting human tyrosinase. A series of coumarin (C1–C9)-, thymol (T1–T8)- and vanillin (V1–V8)-based derivatives have been theoretically analyzed for their inhibitory effects against human tyrosinase. The crystal structure of human tyrosinase is not available in Protein Data Bank. Therefore, homology modeling approach was used to predict three-dimensional (3D) crystal structure of human tyrosinase. The reliability and efficacy of predicted 3D structure were validated by using Ramachandran plots which indicate that 95.01 % residues are present in favored regions. Moreover, multiple computational approaches such as molecular docking and molecular dynamic (MD) simulation along with various online tools were employed to screen the best inhibitor against melanogenesis. The results revealed that V7 and C9 compounds showed significant binding energy values (−7.79 and −7.40 kcal/mol, respectively) compared with the standard drugs such as kojic acid (−4.21 kcal/mol) and arbutin (−4.62 kcal/mol). Moreover, MD simulation results also justified that V7 showed little fluctuations throughout the simulation period as depicted by the root mean square deviation and root mean square fluctuation graphs. Thus, the present in silico study provides a deeper insight into the structural attributes of V7 compound and its overall molecular interactions against human tyrosinase and gives a hypothetical gateway to use this compound as a potential inhibitor against melanogenesis.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27098808</pmid><doi>10.1007/s12539-016-0171-x</doi><tpages>13</tpages></addata></record> |
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subjects | Animals Biomedical and Life Sciences Computational Biology/Bioinformatics Computational Science and Engineering Computer Appl. in Life Sciences Computer applications Computer simulation Coumarin Crystal structure Cytotoxic agents Cytotoxicity Data banks Drug discovery Enzyme Inhibitors - chemistry Enzyme Inhibitors - pharmacology Enzyme Inhibitors - toxicity Exploration Health Sciences Homology Humans Inhibitors Kojic acid Life Sciences Ligands Mathematical and Computational Physics Mathematical models Medicine Molecular docking Molecular Docking Simulation Molecular Dynamics Simulation Molecular interactions Molecular modelling Monophenol Monooxygenase - antagonists & inhibitors Monophenol Monooxygenase - chemistry Original Research Article Rats Reference Standards Simulation Statistics for Life Sciences Structure-Activity Relationship Theoretical Theoretical and Computational Chemistry Three dimensional models Thymol Toxicity Tests, Acute Tyrosinase Vanillin Variation |
title | Exploration of Novel Human Tyrosinase Inhibitors by Molecular Modeling, Docking and Simulation Studies |
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