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Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Deciphering Antibiotic-Targeted Metabolic Pathways in Acinetobacter baumannii: Insights from Transcriptomics and Genome-Scale Metabolic Modeling. [PDF]
Sarı FZ, Çakır T.
europepmc +1 more source
A benchmark of optimization solvers for genome-scale metabolic modeling of organisms and communities. [PDF]
Machado D.
europepmc +1 more source
Metabolic modeling of Halomonas campaniensis improves polyhydroxybutyrate production under nitrogen limitation. [PDF]
Deantas-Jahn C +4 more
europepmc +1 more source
Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth. [PDF]
Eames A, Chandrasekaran S.
europepmc +1 more source
Transcriptome-based biomarker prediction for Parkinson's disease using genome-scale metabolic modeling. [PDF]
Abdik E, Çakır T.
europepmc +1 more source
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Metabolic Modeling with MetaFlux
2021The MetaFlux software supports creating, executing, and solving quantitative metabolic flux models using flux balance analysis (FBA). MetaFlux offers four modes of operation: (1) solving mode executes an FBA model for an individual organism or for an organism community, (2) gene knockout mode executes an FBA model with one or many gene knockouts, (3 ...
Mario, Latendresse +2 more
openaire +2 more sources
Mathematical modelling of metabolism
Current Opinion in Plant Biology, 2000Modelling of metabolism attempts to improve our understanding of metabolic regulation by quantifying essential parts or aspects of the metabolic system. Three areas in which modelling has recently made considerable contributions toward this aim can be identified.
A K, Gombert, J, Nielsen
openaire +4 more sources
2021
Fungi have received special interest from the biotechnological sector focused on the production of active biomolecules and strain engineering. Genome-scale metabolic models (GEMs) are used to understand and improve their metabolism. GEMs can be obtained using computational methods, but they are susceptible to errors.
Mendoza, Sebastián N. +3 more
openaire +2 more sources
Fungi have received special interest from the biotechnological sector focused on the production of active biomolecules and strain engineering. Genome-scale metabolic models (GEMs) are used to understand and improve their metabolism. GEMs can be obtained using computational methods, but they are susceptible to errors.
Mendoza, Sebastián N. +3 more
openaire +2 more sources

