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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>World Journal of Organic Chemistry</journalTitle>
    <eissn>2372-2169</eissn>
    <publicationDate>2016-01-22</publicationDate>
    <volume>3</volume>
    <issue>1</issue>
    <startPage>16</startPage>
    <endPage>26</endPage>
    <doi>10.12691/wjoc-3-1-4</doi>
    <publisherRecordId>WJOC2015314</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Cytotoxicity, 2D- and 3D- QSAR Study of some Halogen Containing Hydroxy and Amino Substituted Aromatic Compounds</title>
    <authors>
      <author>
        <name>M. Idrish Ali</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>M. Abul Kashem Liton</name>
        <email>litonchem@hotmail.com</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Chemistry, Mawlana Bhashani Science and Technology University, Santosh, Tangail, Bangladesh</affiliationName>
    </affiliationsList>
    <abstract language="eng">A set of 24 halogen containing hydroxy and amino substituted aromatic compounds were subjected to 2D- and 3D-QSAR studies. 3D-QSAR was studied at a 2.0 ? 3D grid spacing using molecular interaction fields (MIFs) analysis. The best predictive models by MIFs gave the cross-validated correlation coefficient, Q2 of 0.668 and squared correlation coefficient, R2 of 0.979 and the models by MLR, PCR and PLSR methods for 2D-QSAR provided a highly significant squared correlation coefficient (R2) values of 0.904, 0.785, 0.903 and cross-validated correlation coefficients (Q2) of 0.824, 0.662 and 0.718 respectively. The statistically significant model was established from a training set of 18 molecules, which were validated by evaluation of test set of 6 compounds. The calculated cytotoxic activities through MIFs model showed a very good agreement with experimental values. The information provided by QSAR analysis may give valuable clues to design and find the new potential drugs.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/wjoc/3/1/4/wjoc-3-1-4.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>QSAR</keyword>
      <keyword>LOO</keyword>
      <keyword>MLR</keyword>
      <keyword>PCR</keyword>
      <keyword>PLSR and MIFs</keyword>
    </keywords>
  </record>
</records>