Fig. 4: Classification and generative performance assessment of CreoPep. | Communications Chemistry

Fig. 4: Classification and generative performance assessment of CreoPep.

From: A deep learning framework (CreoPep) for target-specific design and optimization of conotoxin peptides

Fig. 4: Classification and generative performance assessment of CreoPep.

a Accuracy of CreoPep in subtype and potency prediction tasks. b Accuracy of CreoPep in target prediction. c–e Average pLDDT score, TM-score, and Hamming distance of 1000 mutants generated by CreoPep. f–h Comparison of isoelectric point, net charge, GRAVY (hydrophobicity) distributions among the wild-type conotoxin, high potency conotoxins, and 1000 CreoPep-generated mutants. i–p Feature distributions in the latent space for the wild-type conotoxin, high potency conotoxins, and 1000 CreoPep-generated mutants across eight systems.

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