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Fig. 2 | BMC Genomics

Fig. 2

From: AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

Fig. 2

Performance comparison of different AMP prediction tools based on the test sequence similarities to their corresponding training sets. F1 scores of AMP prediction tools were calculated on test subsets based on similarities to sequences in the training sets. All the AMP/non-AMP test subsets were derived from the AMPlify test data, with subsets containing 10 or fewer sequences removed. The size of the round makers indicates the number of sequences remaining in the test subset given the similarity threshold

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BMC Genomics

ISSN: 1471-2164

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