{
  "id": 5006071,
  "title": "Designing antimicrobials with programmable mechanism and safety",
  "url": "https://urgent.news/2026/09/01/designing-antimicrobials-with-programmable-mechanism-and-safety",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-01T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.01.747572v1?rss=1"
  },
  "original_language": "en",
  "account": "Antimicrobial peptides (AMPs) present a promising avenue for combating antimicrobial resistance; however, existing models fall short in controlling physicochemical properties and motifs that determine activity and selectivity. To address this challenge, researchers introduce OmegAMP, a conditional diffusion framework capable of regulating net charge, mean hydrophobicity, and sequence length to facilitate de novo, analog, and motif-guided design of AMPs.\n\nValidation of OmegAMP's capabilities is demonstrated through testing on 204 AMPs characterized in wet-lab experiments. The de novo generation of AMPs via this framework yielded compounds with broad activity against multidrug-resistant Gram-negative bacteria. Moreover, the analog generation approach converted six inactive AMP prototypes into effective antimicrobials, with each analog's membrane-disruption mode being dictated by the original prototype.\n\nThe motif-guided analog generation mechanism preserves the ability of active prototypes to engage with lipopolysaccharides, while also enabling the redesign of a non-antimicrobial leucine zipper to acquire antimicrobial activity without compromising DNA-perturbing characteristics in vitro. In murine models simulating skin and thigh infections, OmegAMP-generated leads successfully reduced bacterial burdens, with a DNA-perturbing lead matching the efficacy of a fluoroquinolone control treatment when administered systemically.\n\nBy providing a programmable route to the development of new peptide antibiotics, OmegAMP promises a more targeted approach to designing AMPs with desired mechanisms and safety profiles based on the chosen prototype.",
  "summary": "Antimicrobial peptides (AMPs) are a promising solution to antimicrobial resistance, yet generative models for their design cannot control the physicochemical properties and motifs that shape activity and selectivity. Here, we present OmegAMP, a conditional diffusion framework controlling net charge, mean hydrophobicity, and sequence length, supporting de novo, analog, and motif-guided design.…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}