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Estrategias avanzadas en la investigación de fagos: innovaciones, aplicaciones y desafíos
Pengfei Wu1, Wanwu Li1, Wenlu Zhang1
1Microbial Pathogen and Anti-Infection Research Group, School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471003, China.
Microorganisms
|August 28, 2025
Resumen
La inteligencia artificial (IA) está revolucionando el tratamiento de la resistencia a los antimicrobianos (AMR) al mejorar las terapias de bacteriófagos (fagos). Las herramientas impulsadas por la IA aceleran el desarrollo de nuevas soluciones basadas en fagos para combatir las bacterias resistentes a los medicamentos.
Área de la Ciencia:
- Microbiología
- La bioinformática
- Biotecnología
Sus antecedentes:
- La resistencia a los antimicrobianos (AMR) representa una amenaza crítica para la salud mundial, que requiere nuevas estrategias terapéuticas.
- Los bacteriófagos (fagos), virus que infectan a las bacterias, están surgiendo como una alternativa prometedora a los antibióticos tradicionales.
- La inteligencia artificial (IA) ofrece herramientas poderosas para acelerar la investigación y el desarrollo de fagos.
Objetivo del estudio:
- Revisar el impacto transformador de la IA en la biología y las aplicaciones de los fagos.
- Para resaltar las innovaciones impulsadas por la IA en la predicción estructural de fagos, la anotación funcional y la bioingeniería.
- Discutir el potencial de las terapias de fagos mejoradas con IA en la lucha contra la resistencia antimicrobiana y otros campos.
Principales métodos:
- Revisión de la literatura actual sobre las aplicaciones de la IA en biología de fagos.
- Análisis de herramientas de IA como AlphaFold para la predicción estructural.
- Exploración del aprendizaje profundo para la anotación funcional y CRISPR-Cas para la bioingeniería.
Principales resultados:
- La IA mejora significativamente la predicción estructural del fago y la anotación funcional.
- La IA facilita la bioingeniería avanzada de fagos para aplicaciones específicas.
- La integración de IA acelera el desarrollo de terapias de fagos de próxima generación.
Conclusiones:
- La IA es fundamental para el avance de la biología de los fagos y la ingeniería para la terapia de próxima generación.
- La investigación de fagos impulsada por la IA tiene un inmenso potencial para combatir la resistencia antimicrobiana.
- Abordar desafíos como las tasas de falsos positivos y la bioseguridad es crucial para la traducción clínica.
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