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   <ui>1752-153X-2-S1-P16</ui>
   <ji>1752-153X</ji>
   <fm>
      <dochead>Poster presentation</dochead>
      <bibl>
         <title>
            <p>The use of quantum chemistry in the prediction of ADME-Tox properties</p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Van Damme</snm>
               <fnm>S</fnm>
               <insr iid="I1"/>
            </au>
            <au id="A2">
               <snm>Bultinck</snm>
               <fnm>P</fnm>
               <insr iid="I1"/>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>Department of Inorganic and Physical Chemistry, University of Ghent, Krijgslaan 281 S3, B-9000 Gent, Belgium</p>
            </ins>
         </insg>
         <source>Chemistry Central Journal</source>
         <supplement>
            <title>
               <p>3rd German Conference on Chemoinformatics: 21. CIC-Workshop</p>
            </title>
            <note>Meeting abstracts - A single PDF containing all abstracts in this Supplement is available <a href="http://www.biomedcentral.com/content/files/pdf/1752-153X-2-S1-full.pdf">here</a>.</note>
            <url>http://www.biomedcentral.com/content/pdf/1752-153X-2-S1-info.pdf</url>
         </supplement>
         <conference>
            <title>
               <p>3rd German Conference on Chemoinformatics</p>
            </title>
            <location>Goslar, Germany</location>
            <date-range>11-13 November 2007</date-range>
            <url>http://www.gdch.de/gcc2007</url>
         </conference>
         <issn>1752-153X</issn>
         <pubdate>2008</pubdate>
         <volume>2</volume>
         <issue>Suppl 1</issue>
         <fpage>P16</fpage>
         <url>http://www.journal.chemistrycentral.com/content/2/S1/P16</url>
         <xrefbib>
            <pubid idtype="doi">10.1186/1752-153X-2-S1-P16</pubid>
         </xrefbib>
      </bibl>
      <history>
         <pub>
            <date>
               <day>26</day>
               <month>03</month>
               <year>2008</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2008</year>
         <collab>Van Damme and Bultinck</collab>
      </cpyrt>
   </fm>
   <bdy>
      <sec>
         <st>
            <p/>
         </st>
         <p>ADME-Tox properties are very important in pharmaceutical research, determining the fate of many molecules in the drug design sequence. Knowledge of ADME-Tox properties in the earliest stages of drug design is therefore highly desirable. The aim of this investigation is to construct low throughput in silico QSAR models in which ADME-Tox properties of single compounds are predicted with high accuracy based on Quantum Chemical information <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>.</p>
         <p>The possible role of quantum chemical information in chemoinformatics is discussed, with a closer look to the advantages, disadvantages and capabilities of quantum chemical descriptors in QSAR environments.</p>
         <p>The use of quantum chemical information is explained by a worked-out example concerning the distribution of medicinal active molecules through the blood-brain barrier <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>.</p>
      </sec>
   </bdy>
   <bm>
      <refgrp>
         <bibl id="B1">
            <title>
               <p>Quantum chemical descriptors in QSAR</p>
            </title>
            <aug>
               <au>
                  <snm>Karelson</snm>
                  <fnm>M</fnm>
               </au>
            </aug>
            <source>Computational Medicinal Chemistry for Drug Discovery</source>
            <publisher>Dekker Inc., NY</publisher>
            <editor>Bultinck P, De Winter H, Langenaeker W, Tollenaere JP</editor>
            <pubdate>2004</pubdate>
            <fpage>641</fpage>
            <lpage>667</lpage>
         </bibl>
         <bibl id="B2">
            <title>
               <p>Prediction of Blood-brain partitioning: a model based on ab initio calculated quantum chemical descriptors</p>
            </title>
            <aug>
               <au>
                  <snm>Van Damme</snm>
                  <fnm>S</fnm>
               </au>
               <au>
                  <snm>Langenaeker</snm>
                  <fnm>W</fnm>
               </au>
               <au>
                  <snm>Bultinck</snm>
                  <fnm>P</fnm>
               </au>
            </aug>
            <source>Journal of Molecular graphics and modelling</source>
            <pubdate>2007</pubdate>
            <inpress/>
            <note>in press. doi:10.1016/j.jmgm.2007.11.004.</note>
         </bibl>
      </refgrp>
   </bm>
</art>
