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TRV-2026-0193Certified recordPeer-reviewed

A generative artificial intelligence approach for peptide antibiotic optimization

Abstract Antibiotic resistance is rising globally, demanding faster, more reliable routes to design antimicrobial candidates. Although artificial-intelligence-based methods have accelerated antimicrobial discovery, most are designed to screen fixed libraries or generate candidates broadly, rather than optimize existing peptide scaffolds under practical design constraints. Here, to address this challenge, we present APEX generative optimization (ApexGO). ApexGO uses a transformer variational autoencoder that embe…

Science · G Space — documented gain · certified 2026-07-13 · v1 · article view · machine-readable

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ApexGO generated optimized peptide derivatives that showed enhanced antimicrobial activity in vitro and potent anti-infective efficacy in mouse models of Acinetobacter baumannii infection.

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Truvace Impact Record TRV-2026-0193, v1: “A generative artificial intelligence approach for peptide antibiotic optimization.” Truvace, 2026-07-13. /record/TRV-2026-0193 (accessed at citation time). sha256 898cff5c78b6a9fb…

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