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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Una estrategia experimental y computacional combinada para definir redes de interacción de proteínas para módulos de
Amy Hin Yan Tong1, Becky Drees, Giuliano Nardelli
1Banting and Best Department of Medical Research and Department of Molecular and Medical Genetics, University of Toronto, Toronto, Ontario, Canada M5G 1L6.
Science (New York, N.Y.)
|December 18, 2001
Resumen
Desarrollamos un nuevo método que combina la predicción computacional y las pruebas experimentales para identificar las interacciones de proteínas. Este enfoque mapeó con éxito las interacciones de los dominios SH3 de la levadura, revelando socios de unión clave como Las17.
Área de la Ciencia:
- Biología Molecular Biología Molecular
- La bioquímica es la bioquímica.
- Biología de Sistemas Biología de Sistemas.
Sus antecedentes:
- Los módulos de reconocimiento de péptidos son cruciales para el ensamblaje complejo macromolecular.
- La identificación de socios vinculantes fisiológicamente relevantes para estos módulos es un reto debido a su abundancia.
Objetivo del estudio:
- Desarrollar y aplicar una nueva estrategia para predecir y validar las interacciones proteína-proteína.
- Generar redes de interacción completas para los dominios SH3 de levadura.
Principales métodos:
- Predicción computacional combinada de secuencias de consenso de ligando fag-display con ensayos de levadura de dos híbridos a gran escala.
- Utilizó el análisis teórico de gráficos para identificar interacciones de alta confianza comunes a ambas redes.
Principales resultados:
- Generó una red de muestra de fagos con 394 interacciones entre 206 proteínas.
- Generó una red de dos híbridos de levadura con 233 interacciones entre 145 proteínas.
- Se identificaron 59 interacciones de alta confianza presentes en ambas redes, incluidas múltiples interacciones para Las17 (Bee1).
Conclusiones:
- La estrategia computacional y experimental integrada es efectiva para mapear las redes de interacción de proteínas.
- Interacciones clave validadas in vivo, que demuestran la relevancia fisiológica de los socios identificados.
- Los hallazgos proporcionan información sobre la función de los dominios SH3 y su papel en los procesos celulares.
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