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Research Article

Quantitative structure–activity relationship (QSAR) study of interleukin-1 receptor associated kinase 4 (IRAK-4) inhibitor activity by the genetic algorithm and multiple linear regression (GA-MLR) method

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Pages 844-853 | Received 08 Oct 2009, Accepted 08 Mar 2010, Published online: 30 Apr 2010

Figures & data

Table 1. Chemical structures and the corresponding observed and predicted pIC50 values by the MLR method.

Figure 1. The principal component analysis of the training and test sets.

Figure 1.  The principal component analysis of the training and test sets.

Table 2. The linear model based on the seven parameters selected by the GA-MLR method.

Figure 2. The predicted versus the experimental pIC50 by GA-MLR.

Figure 2.  The predicted versus the experimental pIC50 by GA-MLR.

Figure 3. The residual versus the experimental pIC50 by GA-MLR.

Figure 3.  The residual versus the experimental pIC50 by GA-MLR.

Table 3. The R2train and Q2LOO values after several Y-randomisation tests.

Figure 4. The William plot of the GA-MLR model.

Figure 4.  The William plot of the GA-MLR model.

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