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Exploring QSARs for Inhibitory Activity of Cyclic Urea and Nonpeptide Cyclic Cyanoguanidine Derivatives HIV 1 Protease Inhibitors by Artificial Neural Network

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Figure

Table 1. Final MLR model summary.
Figure 1. First and second principal components for the factor spaces of the descriptors and anti-HIV-1 protease ac- tivity data
Figure 2. RMSE of calibration and prediction against hidden nodes number for (a) model 8 and (b) model 10
Figure 3. (a) Plot of the predicted anti-HIV-1 protease activities against observed ones and (b) their residuals for model 8; (c) Plot of the anti-HIV-1 protease activities against observed ones and (d) their residuals for model 10
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