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Selección de afinidad espectrometría de masas (AS-MS) como herramienta para acelerar los esfuerzos de descubrimiento
Sangeeta Pandey1, Florent Samain1, Omprakash Nacham1
1AbbVie Discovery Research, North Chicago, IL, USA.
Expert opinion on drug discovery
|January 30, 2026
Resumen
La espectrometría de masas de selección de afinidad (AS-MS) es un método sin marcadores para estudiar interacciones moleculares. Los avances en la tecnología están ampliando su uso en el descubrimiento de fármacos para la identificación y optimización de éxitos.
Área de la Ciencia:
- Química biofísica
- Química analítica
- Descubrimiento de fármacos
Sus antecedentes:
- La espectrometría de masas de selección de afinidad (AS-MS) es una técnica sin marcadores para caracterizar las interacciones macromolécula-ligando.
- Se ha empleado con éxito como herramienta de búsqueda de éxitos en el descubrimiento de fármacos.
Objetivo del estudio:
- Proporcionar una revisión histórica de AS-MS.
- Destacar los avances tecnológicos recientes que permiten AS-MS.
- Mostrar diversas aplicaciones de AS-MS en el descubrimiento de fármacos.
Principales métodos:
- Revisión de la literatura de diversas bases de datos científicas y recursos internos.
- Análisis de las aplicaciones de AS-MS en cribado de alto rendimiento (HTS), cribado de bibliotecas codificadas con ADN (DEL), Direct-to-Biology y cribado de productos naturales.
Principales resultados:
- AS-MS es un ensayo biofísico único que identifica los aglutinantes basándose en el peso molecular sin etiquetas.
- El progreso tecnológico reciente ha ampliado las capacidades de AS-MS.
- AS-MS ha demostrado éxito en la confirmación de éxitos, HTS, cribado DEL, Direct-to-Biology y cribado de productos naturales.
Conclusiones:
- AS-MS es una herramienta poderosa para el descubrimiento de fármacos, con un potencial significativo de crecimiento.
- La disminución de los tiempos de separación y la consecución de condiciones de equilibrio mejorarán su impacto.
- Un mayor uso en estudios de relación estructura-actividad (SAR) puede acelerar la identificación y optimización de líderes.
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