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The objective of this paper is to build a reliable model based on the artificial neural network (ANN) for predicting the blood–brain barrier (BBB) permeability and reveal the effects of the molecular descriptor on the BBB permeability. Eight descriptors including high-affinity P-gp substrate probability and plasma protein binding ratio are selected to develop the model. The three layers feedforward...
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