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Fig. 3 | Journal of Cheminformatics

Fig. 3

From: Random-forest model for drug–target interaction prediction via Kullback–Leibler divergence

Fig. 3

Comparison of their probability densities with a 3D similarity distribution (of the Q–Q matrix). A 3D similarity histogram and probability densities, GMM (n = 2) and KDE of sigma opioid receptor (Q3), B 3D similarity histogram and probability densities, GMM (n = 2) and KDE of fibroblast growth factor receptor 1 (Q10), and C Heterogenous 3D similarity distribution between three targets, heat shock protein 90 (Q2), fibroblast growth factor receptor 1 (Q10), serine threonine-protein kinase mTOR (Q14). X-axis: 3D similarity (Jaccard–Tanimoto coefficient), Y-axis: relative frequency

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