Fig. 6: Boxplot of charge and GRAVY distributions in AMP and AIP data. | Communications Biology

Fig. 6: Boxplot of charge and GRAVY distributions in AMP and AIP data.

From: PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model

Fig. 6

A The true distributions of positive and negative samples in AMP and AIP training sets. B The true distribution of positive and negative samples in AMP and AIP test sets. C The predicted distributions of positive and negative samples by PepNet in AMP and AIP test sets. D The illustration of the final representation learned by PepNet, with points colored by positive and negative scores of charge and GRAVY.

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