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Ranking of QSAR models to predict minimal inhibitory concentrations toward Mycobacterium tuberculosis for a set of fluoroquinolones
Marjan Vračko, Nikola Minovski, Károly Héberger
Izvirni znanstveni članek
Oznake: QSAR;modeling;ranking;method comparison;neural networks;prediction of antituberculosis activity;
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 ba ...
Leto: 2010 Vir: dLib.si Digitalna knjižnica Slovenije
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