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Boltz-ABFE: Perturbación de Energía Libre sin Estructuras Cristalinas

Stephan Thaler1,2, Zhiyi Wu2, William G Glass2

  • 1Valence Laboratories, 6666 Rue Saint-Urbain 100, Montréal QC H2S 3H1, Canada.

Journal of chemical theory and computation
|February 12, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Las simulaciones de perturbación de energía libre (FEP) ahora pueden estimar la afinidad de unión sin estructuras experimentales. El nuevo pipeline Boltz-ABFE utiliza complejos proteína-ligando predichos para un descubrimiento de fármacos más rápido.

Palabras clave:
descubrimiento de fármacosquímica computacionalbiología estructuralenergía libre de perturbaciónafinidad de uniónpredicción de estructurascomplejos proteína-ligandosimulaciones de dinámica molecular

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Área de la Ciencia:

  • Química computacional
  • Descubrimiento de fármacos
  • Biología estructural

Sus antecedentes:

  • La perturbación de energía libre (FEP) es el estándar de oro para la estimación de la afinidad de unión.
  • La precisión de FEP depende de estructuras precisas de complejos proteína-ligando, a menudo no disponibles experimentalmente al principio del descubrimiento de fármacos.
  • Los métodos existentes están limitados por la necesidad de estructuras cristalinas experimentales.

Objetivo del estudio:

  • Desarrollar un pipeline robusto (Boltz-ABFE) para la estimación de la energía libre de unión absoluta (ABFE) sin estructuras cristalinas experimentales.
  • Evaluar la utilidad de las estructuras de complejos proteína-ligando predichas para simulaciones de FEP.
  • Permitir la estimación de afinidad basada en estructuras en la fase inicial del descubrimiento de fármacos.

Principales métodos:

  • Integración del modelo de predicción de estructuras Boltz-2 con un protocolo absoluto de FEP.
  • Desarrollo de métodos automatizados para refinar estructuras predichas para simulaciones de dinámica molecular.
  • Validación del pipeline Boltz-ABFE utilizando cuatro dianas proteicas del conjunto de referencia FEP+.

Principales resultados:

  • Boltz-2 predice con éxito estructuras de complejos proteína-ligando adecuadas para FEP.
  • El refinamiento automatizado de estructuras mejora la calidad de los modelos predichos para simulaciones.
  • El pipeline Boltz-ABFE estima con precisión ABFE para múltiples dianas proteicas sin estructuras experimentales.

Conclusiones:

  • Boltz-ABFE demuestra la viabilidad de realizar simulaciones de FEP utilizando estructuras predichas.
  • Este enfoque amplía significativamente la aplicabilidad de FEP en el descubrimiento de fármacos.
  • Boltz-ABFE acelera la fase inicial del descubrimiento de fármacos a través de la estimación precisa de la afinidad de unión basada en estructuras.