Machine Learning-Based Quantitative Structure-Activity Relationship and ADMET Prediction Models for ERα Activity of Anti-Breast Cancer Drug Candidates | Wuhan University Journal of Natural Sciences

Open Access

Fig. 3

Classification and prediction model results for the five ADMET properties

(a) Caco-2 property on SVR model; (b) CYP3A4 property on LR model; (c) hERG property on SVR model; (d) HOB property on BPNN model; (e) MN property on LR model

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