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Updated: Jan 29, 2026

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Puente entre ciencia y currículo: preparando futuros líderes en toxicología computacional
Frances Hall1, Candice Johnson1
1Instem, Stone, United Kingdom.
Frontiers in toxicology
|January 28, 2026
Resumen
Este estudio describe las habilidades esenciales y un marco educativo para la toxicología computacional, centrándose en las relaciones (cuantitativas) estructura-actividad ((Q)SAR) y los métodos de read-across para las evaluaciones de seguridad química.
Área de la Ciencia:
- Toxicología computacional
- Evaluación de la seguridad química
- Ciencia regulatoria
Sus antecedentes:
- La toxicología computacional es crucial para la seguridad química, el descubrimiento de fármacos y la identificación de peligros.
- Marcos existentes como el Marco de Evaluación (Q)SAR (QAF) y los principios de validación de la OCDE guían la aplicación de métodos.
- La alfabetización regulatoria es clave para evaluar los enfoques de (Quantitative) Structure-Activity Relationship ((Q)SAR) y read-across.
Objetivo del estudio:
- Definir las habilidades fundamentales, las capacidades técnicas y la alfabetización regulatoria para la toxicología computacional.
- Presentar un marco educativo para el aprendizaje basado en competencias en (Q)SAR y read-across.
- Explorar casos de uso regulatorios para entornos educativos, enfatizando el contexto de uso.
Principales métodos:
- Descripción general de las habilidades fundamentales y capacidades técnicas recomendadas.
- Integración de conocimientos teóricos con experiencia práctica (pasantías, estudios de caso).
- Desarrollo de un marco educativo basado en competencias con exposición interdisciplinaria.
Principales resultados:
- Un marco educativo progresa desde el conocimiento fundamental hasta la comprensión metodológica y la evaluación de la fiabilidad.
- Los casos de uso centrados en la regulación destacan la necesidad de principios fundamentales en diversas aplicaciones.
- Énfasis en el diseño curricular impulsado por el contexto de uso y el aprendizaje experiencial.
Conclusiones:
- La aplicación eficaz de (Q)SAR y read-across requiere habilidades específicas y alfabetización regulatoria.
- Un marco educativo interdisciplinario y basado en competencias apoya la aplicación práctica y la evaluación de la fiabilidad.
- El aprendizaje experiencial y las iniciativas colaborativas son vitales para avanzar en la educación en toxicología computacional.
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