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 <titleInfo>
  <title>In Silico Molecular Docking Analysis of Limonene with The Fat Mass and Obesity-Associated Protein by Using Autodock Vina</title>
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 <name type="Personal Name" authority="">
  <namePart>Ahmed Muhammad Zeeshan</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
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  <place>
   <placeTerm type="text">Semarang</placeTerm>
   <publisher>Universitas Negeri Semarang</publisher>
   <dateIssued>2021</dateIssued>
  </place>
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 <language>
  <languageTerm type="code">e</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <form authority="gmd">Artikel Jurnal</form>
  <extent>hlm : 154-160</extent>
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  <titleInfo/>
  <title>Scientific Journal of Informatics</title>
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<note>&#13;
Abstract&#13;
&#13;
Purpose: This study aimed to predict the binding affinity, orientation, and physical interaction between limonene and fat mass and obesity-associated protein.Â Methods: The mechanism of limonene and protein association was explored by molecular docking, a bioinformatic tool. The association results were compared with the reported results of the anti-obesity drug such as orlistat and with the flavonoids. AutoDock Vina tools were used for the molecular docking of limonene with fat mass and obesity-associated protein. PyMol and Discovery Studio Visualizer was used to visualize the results of this docking.Â Result: The binding affinity of limonene was higher (Least negative G) than the orlistat and flavonoids such as Daidzein, Exemestane, Kaempherol, Letrozole, And Rutin.Â Novelty: In this study, the limonene can alleviate obesity by interacting with the fat mass and obesity-associated protein. This inhibitory interaction was more significant as compared to other reported phytochemicals and drugs.&#13;
</note>
<note type="statement of responsibility"></note>
<subject authority="">
 <topic>Informatika</topic>
</subject>
<classification>SJI</classification>
<identifier type="isbn">24077658</identifier>
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  <copyInformation>
   <numerationAndChronology type="1">SJI3b-020</numerationAndChronology>
   <sublocation>Perpustakaan FT UPI YAI</sublocation>
   <shelfLocator>SJI V8N1 May 2021</shelfLocator>
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