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   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors>
     <author></author>
     <author></author>
     <author></author>
     <author></author>
    </authors>
   </contributors>
   <titles>
    <title></title>
   </titles>
   <dates>
    <year>2018</year>
    <pub-dates>
     <date>2020-09-09</date>
    </pub-dates>
   </dates>
   <doi>10.1007/s11094-018-1710-z</doi>
   <abstract>Thymidylate synthase (ThS) is a target for antimetabolite antitumor drugs. Such drugs have been used in the&#13;
clinic although they cause several severe side effects and accumulate in tissues. Therefore, new less toxic ThS&#13;
inhibitors must be sought and created. The GUSAR 2013 program was used to study the quantitative structure –&#13;
activity relationship (QSAR) of a series of antifolate ThS inhibitors in the IC50 range 0.52 – 24,800.00 nM.&#13;
Statistically significant QSAR models were constructed using MNA- and QNA-descriptors and self-consistent regression. They typically predicted highly accurately the structures of the training and test sets (Rtrain&#13;
2 :&#13;
0.855 – 0.922; Rtrain&#13;
3 : 0.810 – 0.895; Rtest1&#13;
2 : 0.734 – 0.790; Rtest2&#13;
2 : 0.800 – 0.835).</abstract>
   <urls>
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     <url>https://repo.bashgmu.ru/publication/314</url>
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    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/315</url>
    </pdf-urls>
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