Article

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

2022-01-28

Abstract excerpt

Antimicrobial peptides emerge as compounds that can alleviate the global health hazard of antimicrobial resistance, prompting a need for novel computational approaches to peptide generation. Here, we propose HydrAMP, a conditional variational autoencoder that learns lower-dimensional, continuous representation of peptides and captures their antimicrobial properties. The model disentangles the learnt representation...

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Literature Corpus work: ad968de2-bcd5-53f6-aa2b-72ab9ef36c99
DOI: 10.1101/2022.01.27.478054

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