Results 51 to 60 of about 1,136,141 (298)
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast. [PDF]
Sci Rep, 2019 Computational predictions of double gene knockout effects by flux balance analysis (FBA) have been used to characterized genome-wide patterns of epistasis in microorganisms.
Alzoubi D, Desouki AA, Lercher MJ.
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BMC Bioinformatics, 2023 Background Microbial community simulations using genome scale metabolic networks (GSMs) are relevant for many application areas, such as the analysis of the human microbiome. Such simulations rely on assumptions about the culturing environment, affecting
Axel Theorell, Jörg Stelling
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A version of the Glimm method based on generalized Riemann problems [PDF]
, 2006 We introduce a generalization of Glimm's random choice method, which provides us with an approximation of entropy solutions to quasilinear hyperbolic system of balance laws. The flux-function and the source term of the equations may depend on the unknown
Hong, John M., LeFloch, Philippe G.
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Flux balance analysis in the era of metabolomics [PDF]
Briefings in Bioinformatics, 2006 Flux balance analysis (FBA) has emerged as an effective means to analyse biological networks in a quantitative manner. Much progress has been made on the extension of FBA to incorporate a priori biological knowledge, provide more practical descriptions of observed cell behaviours, and predict the outcome of network perturbations.
Jong Min, Lee +2 more
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Simulating single-cell metabolism using a stochastic flux-balance analysis algorithm
bioRxiv, 2020 Stochasticity from gene expression in single cells is known to drive metabolic heterogeneity at the level of cellular populations, which is understood to have important consequences for issues such as microbial drug tolerance and treatment of human ...
David S. Tourigny +2 more
semanticscholar +1 more source
k-OptForce: integrating kinetics with flux balance analysis for strain design.
PLoS Computational Biology, 2014 Computational strain design protocols aim at the system-wide identification of intervention strategies for the enhanced production of biochemicals in microorganisms.
Anupam Chowdhury +2 more
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The Warburg effect: a balance of flux analysis [PDF]
Metabolomics, 2014 Cancer metabolism is characterized by increased macromolecular syntheses through coordinated increases in energy and substrate metabolism. The observation that cancer cells produce lactate in an environment of oxygen sufficiency (aerobic glycolysis) is a central theme of cancer metabolism known as the Warburg effect.
Vaitheesvaran, B +6 more
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mBio, 2019 Methylomicrobium buryatense 5GB1 is an obligate methylotroph which grows on methane or methanol with similar growth rates. It has long been assumed that the core metabolic pathways must be similar on the two substrates, but recent studies of methane ...
Yanfen Fu +4 more
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Integrating proteomic or transcriptomic data into metabolic models using linear bound flux balance analysis. [PDF]
Bioinformatics, 2018 Motivation Transcriptomics and proteomics data have been integrated into constraint‐based models to influence flux predictions. However, it has been reported recently for Escherichia coli and Saccharomyces cerevisiae, that model predictions from ...
Tian M, Reed JL.
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Mapping the landscape of metabolic goals of a cell [PDF]
, 2016 Genome-scale flux balance models of metabolism provide testable predictions of all metabolic rates in an organism, by assuming that the cell is optimizing a metabolic goal known as the objective function.
Paschalidis, Ioannis Ch. +4 more
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