Generative latent diffusion language modeling yields anti-infective synthetic peptides

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来源: Cell
发布时间: 2025-09-03 03:34
摘要:

AMP-Diffusion is a novel generative AI platform designed for the rapid discovery of antimicrobial peptides (AMPs) to combat antibiotic resistance. The platform synthesized 46 peptides from 50,000 in silico designs, with 76% demonstrating antibacterial activity against multidrug-resistant strains. In vivo studies in mice showed that lead peptides effectively reduced bacterial loads, comparable to standard antibiotics. This innovative approach highlights the potential for scalable antibiotic development, making it a promising area for early-stage investment.

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关键证据

76% of tested peptides inhibited bacteria, including multidrug-resistant strains.
Lead candidates showed in vivo efficacy comparable to clinically used antibiotics.
Generative AI can rapidly identify and optimize therapeutic peptides.

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AMP-Diffusion is a novel generative AI platform designed for the rapid discovery of antimicrobial peptides (AMPs) to combat antibiotic resistance. The platform synthesized 46 peptides from 50,000 in silico designs, with 76% demonstrating antibacterial activity against multidrug-resistant strains. In vivo studies in mice showed that lead peptides effectively reduced bacterial loads, comparable to standard antibiotics. This innovative approach highlights the potential for scalable antibiotic development, making it a promising area for early-stage investment.

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