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ProT-Diff: A Modularized and Efficient Approach to De Novo Generation of Antimicrobial Peptide Sequences through Integration of Protein Language Model and Diffusion Model

2024-02-23

Abstract excerpt

Antimicrobial Peptides (AMPs) represent a promising class of antimicrobial agents crucial for combating antibiotic-resistant pathogens. Despite the emergence of deep learning approaches for AMP discovery, there remains a gap in efficiently generating novel AMPs across various amino acid lengths without prior knowledge of peptide structures or sequence alignments. Here we introduce ProT-Diff, a modularized and effi...

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Literature Corpus work
d0a7a19e-f816-5f51-8453-77cceefc11a7
DOI
10.1101/2024.02.22.581480
Open publication

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ProT-Diff: A Modularized and Efficient Approach to De Novo Generation of Antimicrobial Peptide Sequences through Integration of Protein Language Model and Diffusion ModelDOI 10.1101/2024.02.22.581480
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