Probabilistic controllability approach to metabolic fluxes in normal and cancer tissues
Metabolic rewiring is a feature of many cancers. Here, the authors combine control theory and flux correlation analysis to study the transition of healthy metabolic networks to cancer states, and find that cancer metabolism is characterized by more streamlined flux distributions.
Guardado en:
Autores principales: | Jean-Marc Schwartz, Hiroaki Otokuni, Tatsuya Akutsu, Jose C. Nacher |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7dc3ee3bfaa04a9794f00cfbcdbd88c3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Uncovering and classifying the role of driven nodes in control of complex networks
por: Yuma Shinzawa, et al.
Publicado: (2021) -
Structural control of metabolic flux.
por: Max Sajitz-Hermstein, et al.
Publicado: (2013) -
Optimal Control of Probabilistic Boolean Networks: An Information-Theoretic Approach
por: K. Sonam, et al.
Publicado: (2021) -
Normal Wiggly Probabilistic Hesitant Fuzzy Information for Environmental Quality Evaluation
por: Qasim Noor, et al.
Publicado: (2021) -
Probabilistic approach to predicting substrate specificity of methyltransferases.
por: Teresa Szczepińska, et al.
Publicado: (2014)