https://www.selleckchem.com/pr....oducts/prt062607-p50
Next, we have used the "Intelligent Consensus Predictor" tool (available from http//teqip.jdvu.ac.in/QSAR_Tools/DTCLab/) to test the prediction quality with an "intelligent" approach to select multiple models. The estimated prediction quality for the appropriate test sets reveals that the consensus models (CM) surpass the quality shown by individual models (IM) for both the endpoints (ErC50 and EbC5. Finally, the developed models were able to identify the major contributing features (hydrophobic units, unsaturation, satu
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