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Noticias de la red: innovaciones en la biología de sistemas del siglo XXI
Adam P Arkin1, David V Schaffer
1Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. aparkin@lbl.gov
Cell
|March 19, 2011
Resumen
La biología de sistemas ha avanzado significativamente, desarrollando modelos predictivos a escala de genoma para redes celulares. Estos enfoques de sistemas tienen como objetivo cerrar la brecha entre la correlación y la comprensión mecanicista en biología.
Área de la Ciencia:
- Biología de sistemas Biología de sistemas.
- Análisis de la red celular Análisis de la red celular
- La genómica es la genómica.
Sus antecedentes:
- Hace una década, la biología de sistemas surgió con una fuerte visión para comprender sistemas biológicos complejos.
- Se han logrado avances significativos en áreas clave de la investigación en biología de sistemas.
Objetivo del estudio:
- Revisar tecnologías clave y conocimientos en biología de sistemas.
- Para resaltar el desarrollo de modelos predictivos a escala del genoma.
- Evaluar el potencial de los enfoques sistémicos para unir las percepciones correlativas y mecanicistas.
Principales métodos:
- Revisión de perspectivas y trabajos seminales en biología de sistemas.
- Descripción de las tecnologías que aclaran la evolución, la arquitectura y la función de las redes celulares.
- Desarrollo de modelos regulatorios y metabólicos a escala genómica.
Principales resultados:
- Florecimiento de varios temas clave dentro de la biología de sistemas.
- Elucidación de la dinámica de las redes celulares.
- Creación de los primeros modelos predictivos a escala de genoma para los organismos.
Conclusiones:
- La biología de sistemas ha madurado, produciendo poderosos modelos predictivos.
- El campo se está moviendo hacia una comprensión mecanicista más profunda.
- Los enfoques de sistemas son prometedores para conectar la correlación de datos con los mecanismos biológicos.
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