Optimal control nodes in disease-perturbed networks as targets for combination therapy
Synergistic interactions may arise between regulators in complex molecular networks. Here, the authors develop OptiCon, a computational method for de novo identification of synergistic key regulators and investigate their potential roles as candidate targets for combination therapy.
Guardado en:
Autores principales: | Yuxuan Hu, Chia-hui Chen, Yang-yang Ding, Xiao Wen, Bingbo Wang, Lin Gao, Kai Tan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/624d36751a5444ffbd9a2a54c5ce94db |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Application of fluorescein combined with methylene blue in sentinel lymph node biopsy of breast cancer
por: Liang Li, et al.
Publicado: (2021) -
Perturbation of resting-state network nodes preferentially propagates to structurally rather than functionally connected regions
por: Davide Momi, et al.
Publicado: (2021) -
Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
por: Cheng-lei Zhang, et al.
Publicado: (2021) -
Optimization Method of Sports Service Network Node Layout Based on Network Communication
por: Guang Yin, et al.
Publicado: (2021) -
Hotspot exons are common targets of splicing perturbations
por: David T. Glidden, et al.
Publicado: (2021)