VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Ranking of QSAR models to predict minimal inhibitory concentrations toward Mycobacterium tuberculosis for a set of fluoroquinolones
    Vračko, Marjan ; Minovski, Nikola ; Héberger, Károly
    CP-ANN technique was used to build 54 different QSAR models. The models were built for three sets (assays) of fluoroquinolones considering their antituberculosis activity and using different ... technical parameters (dimension of network and number of learning epochs). The models served as a reliable basis for ranking by a new powerful method based on sum of ranking differences (SRD). With the applied SRD procedure we can find the optimal ones. The best model can be selected easily for the first assay. Two models can be recommended for the second assay, and no recommended model was found for the assay3.
    Vir: Acta chimica slovenica. - ISSN 1318-0207 (Vol. 57, no. 3, 2010, str. 586-590)
    Vrsta gradiva - članek, sestavni del
    Leto - 2010
    Jezik - angleški
    COBISS.SI-ID - 4510490

    Povezava(-e):

    Digitalna knjižnica Slovenije - dLib.si

vir: Acta chimica slovenica. - ISSN 1318-0207 (Vol. 57, no. 3, 2010, str. 586-590)
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