Predicting resistance evolution to guide antibiotic development.

A resistance-based framework predicts antibiotic resistance evolution by evaluating five key parameters, aiding early drug candidate prioritization in antibiotic development.

• Why it matters: Antibiotic resistance hampers drug development and can negate years of research, yet current pipelines focus mainly on potency and target specificity, often neglecting resistance potential.
• What they did: The authors developed a systematic framework that assesses de novo resistance evolvability, resistance-fitness-virulence trade-offs, resistance stability, cross-resistance potential, and health risks of resistance genes across pathogens.
• The result: This approach enables resistance prediction to become a proactive, guiding principle in drug design, potentially improving the success rate of new antibiotics by integrating resistance considerations early.