TL;DR
ApexOracle is an AI system that predicts antibiotic activity and designs new molecules against emerging pathogens, integrating pathogen-specific data for rapid and effective antimicrobial discovery.
Contribution
It introduces a novel AI model combining molecular features and pathogen context to predict and generate antibiotics for previously unseen strains.
Findings
Outperforms existing methods in activity prediction across diverse bacteria.
Demonstrates reliable transferability to novel pathogens with limited data.
Enables in silico design of new molecules with high predicted efficacy.
Abstract
Antimicrobial resistance (AMR) is escalating and outpacing current antibiotic development. Thus, discovering antibiotics effective against emerging pathogens is becoming increasingly critical. However, existing approaches cannot rapidly identify effective molecules against novel pathogens or emerging drug-resistant strains. Here, we introduce ApexOracle, an artificial intelligence (AI) model that both predicts the antibacterial potency of existing compounds and designs de novo molecules active against strains it has never encountered. Departing from models that rely solely on molecular features, ApexOracle incorporates pathogen-specific context through the integration of molecular features captured via a foundational discrete diffusion language model and a dual-embedding framework that combines genomic- and literature-derived strain representations. Across diverse bacterial species and…
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