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.
Enregistré dans:
Auteurs principaux: | Jean-Marc Schwartz, Hiroaki Otokuni, Tatsuya Akutsu, Jose C. Nacher |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/7dc3ee3bfaa04a9794f00cfbcdbd88c3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Uncovering and classifying the role of driven nodes in control of complex networks
par: Yuma Shinzawa, et autres
Publié: (2021) -
Structural control of metabolic flux.
par: Max Sajitz-Hermstein, et autres
Publié: (2013) -
Optimal Control of Probabilistic Boolean Networks: An Information-Theoretic Approach
par: K. Sonam, et autres
Publié: (2021) -
Normal Wiggly Probabilistic Hesitant Fuzzy Information for Environmental Quality Evaluation
par: Qasim Noor, et autres
Publié: (2021) -
Probabilistic approach to predicting substrate specificity of methyltransferases.
par: Teresa Szczepińska, et autres
Publié: (2014)