AI Prediction of Future Antibiotics: Genome-Predicted Antimicrobial Peptides Are Stained with the Amino Acid Signature of Man-Made Synthetic Peptides
Abstract This letter compares the amino acid signatures of natural and artificial intelligence (AI)-predicted antimicrobial peptides. While natural peptides from different sources possess distinct signatures, the amino acid compositions of peptides predicted from venoms, amphibians, insects, and bacteria shared a common feature with higher leucine, lysine, and arginine similar to those of man-made synthetic peptides. This stunning finding underscores the need of the right data set for improving future AI prediction of genomic antimicrobial peptides.
Authors
- Guangshun Wang (ORCID: https://orcid.org/0000-0002-4841-7927)
Institutions
- University of Nebraska Medical Center (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-09-18
- DOI
- https://doi.org/10.1021/acs.jcim.6c02831
- Primary Topic
- Antimicrobial Peptides and Activities
- Type
- article
- Field-Weighted Citation Impact
- 0.00