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AI finds huge cache of anti-bacterial peptides hidden in genomic data

Machine-learning technique uncovers nearly 900,000 microbe-fighting peptide sequences in genomes collected from soils and other sources.
Scanning Electron Micrograph showing large numbers of Staphylococcus aureus bacteria in green and orange colours

Staphylococcus aureus bacteria (green and orange; artificially coloured) were among those killed by one of the peptides identified by a machine-learning approach. Credit: Science Source/Science Photo Library

A trove of antibiotic candidates has been unearthed using artificial intelligence to investigate genomic databases1.

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Nature 630, 273 (2024)

doi: https://doi.org/10.1038/d41586-024-01654-9

Updates & Corrections

  • Correction 11 June 2024: An earlier version of the picture caption incorrectly described the depicted bacteria. This has now been corrected.

References

  1. Santos-Júnior, C. D. et al. Cell https://doi.org/10.1016/j.cell.2024.05.013 (2024).

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