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Resiliencia y perspectivas evolutivas en redes de interacciones proteína-proteína (PPI): análisis comparativo de la
1School of Artificial Intelligence and Information Engineering, Yichun University, Yichun, China.
Frontiers in genetics
|January 22, 2026
Resumen
Las redes de interacciones proteína-proteína (PPI) bacterianas muestran una resiliencia bifásica, colapsando después de un umbral crítico de fallo de nodos. El nuevo índice de Resiliencia de Nodos (NR) se correlaciona fuertemente con la centralidad de intermediación, a diferencia de otras medidas.
Área de la Ciencia:
- Biología de Sistemas; Ciencia de Redes; Bioinformática
Sus antecedentes:
- Las redes de interacciones proteína-proteína (PPI) son cruciales para comprender las funciones celulares y la transducción de señales.; Las medidas de red tradicionales como los índices de centralidad no logran capturar las respuestas dinámicas a la falla de nodos y los efectos en cascada.
Objetivo del estudio:
- Analizar cuantitativamente la resiliencia de las redes de interacciones proteína-proteína (PPI) bacterianas utilizando enfoques de biología de sistemas.; Desarrollar y validar un novedoso índice de Resiliencia de Nodos (NR) para evaluar la estabilidad de la red bajo perturbación.
Principales métodos:
- Fallos en cascada simulados utilizando estrategias progresivas de eliminación de nodos en redes de interacciones proteína-proteína (PPI) bacterianas de SNAP.; Cuantificación de los efectos de la disrupción local a través de experimentos de eliminación de un solo nodo y métricas de fragmentación de la red.; Desarrollo de un marco multidimensional para correlacionar el índice NR con medidas de centralidad clásicas (Grado, Intermediación, Cercanía, Vector Propio).
Principales resultados:
- Las redes de interacciones proteína-proteína (PPI) bacterianas exhiben una degradación de la resiliencia bifásica: una disminución gradual seguida de un colapso acelerado más allá de un umbral crítico.; El índice de Resiliencia de Nodos (NR) mostró una fuerte correlación negativa con la Centralidad de Intermediación (BC), lo que indica que los nodos BC son críticos para la integridad modular.; La centralidad de grado (DC), la centralidad de cercanía (CC) y la centralidad de vector propio (EC) tuvieron asociaciones débiles con NR, lo que resalta su capacidad limitada para predecir fallos en cascada.
Conclusiones:
- Las arquitecturas modulares en las redes de interacciones proteína-proteína (PPI) proporcionan resiliencia, pero son vulnerables al agotamiento de puentes intermodulares.; El índice NR ofrece una medida más dinámica y biológicamente relevante de la resiliencia de la red en comparación con las medidas de centralidad estáticas.; Comprender la resiliencia de la red es clave para descifrar la robustez celular y predecir las respuestas a nivel de sistema a las perturbaciones.
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