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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>American Journal of PharmTech Research</journal-title>
        <abbrev-journal-title abbrev-type="publisher">AJPTR</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2249-3387</issn>
      <publisher>
        <publisher-name>undefined</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">AJPTR026495</article-id>
      <title-group>
        <article-title>QSAR study of Antifungal activity of some Heterocyclic Compounds</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Tiwari</surname>
            <given-names>Santosh</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pandey</surname>
            <given-names>Vikash</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sachan</surname>
            <given-names>Shailja</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">Department of Chemistry, A.P.S.University, Rewa, (Madhya Pradesh) - India</aff>
      <aff id="aff2">Department of Chemistry, Govt. M.S.G. College, Rewa, (Madhya Pradesh) - India</aff>
      <pub-date pub-type="epub" iso-8601-date="2012-12-01">
        <month>12</month>
        <day>01</day>
        <year>2012</year>
      </pub-date>
      <volume>2</volume>
      <issue>6</issue>
      <abstract>
        <p>QSAR analysis on a set of heterocyclic derivatives for antifungal activity was performed by using multiple regression procedure. The activity contribution of these compounds was determined from regression equation and the validation procedure to analyze the predictive ability of QSAR model was described. High agreement between experimental and predicted inhibitory values was obtained. The results of this study indicate that the parameter has a significant effect on antifungal activity of this class of compounds, thus simplifying design of new biologically active molecules.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Quantitative structure-activity relationship</kwd>
        <kwd>Antifungal activity</kwd>
        <kwd>Multiple linear regressions</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
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