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  <Article>
    <Journal>
      <PublisherName>isfcppharmaspire</PublisherName>
      <JournalTitle>Pharmaspire</JournalTitle>
      <PISSN>C</PISSN>
      <EISSN>o</EISSN>
      <Volume-Issue/>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season/>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Pharmaceutics</ArticleType>
      <ArticleTitle>In silico studies for the identification of potential SGLT2 inhibitors</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>0</FirstPage>
      <LastPage>0</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Vivek</FirstName>
          <LastName>Asati</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>SGLT2 inhibitors works by controlling the blood glucose levels, via limiting reabsorption of glucose from the blood therefore, promoting glucose excretion in the urine. As it is reason for the 90% of reabsorption of glucose via insulin-independent mechanism. Current study described the screening of potential SGLT2 inhibitors by using docking studies. In silico studies were carried out with help of the Schrödinger software using PDB ID:3DH4. Inhibitors were docked which resulted that Phlorizin is one of the most potent compound having highest docking score -12.118 kcal/mol showing binding interaction with the Asn64, Ser66, Ala63, Ser91, Tyr263, Glu88, Gln 428 (PBD ID:3DH4) amino acids. Various ADME properties were studied and numerous properties were also analysed. The forecast model can also be used for the further development of the potential compounds against SGLT2.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>SGLT2, Insilico, PDB, Docking, Amino acids</Keywords>
      <URLs>
        <Abstract>https://isfcppharmaspire.com/ubijournal-v1copy/journals/abstract.php?article_id=14510&amp;title=In silico studies for the identification of potential SGLT2 inhibitors</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
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