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We illustrate the effect of parameter choices on the oscillatory behavior of a pathway with negative feedback.
Having many successfully applications in the study of biochemical systems [ 27, 43], sensitivity analysis provides a systematic framework to investigate how changes of a parameter cause changes of the dynamic behavior of a pathway, and which parameters are the most crucial ones impacting the whole system.
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By transcriptional intervention conducted in silico, dynamic behavior of pathways was examined, which demonstrate how much and in which specific ways each gene or gene combination effects the behavior transition of a pathway in response to ESC differentiation or pluripotency induction.
To describe the kinetic behavior of the thioredoxin system at the pathway level, core and realistic model outputs were plotted as parameter portraits, which capture the systems-level behavior of a metabolic pathway (for a detailed description and examples see [ 21, 46]).
They show that the phenotypic adaptations and dynamical behavior of a given pathway is more similar to that of S. cerevisiae in organisms that are found to be closer to S. cerevisiae according to our analysis than in more distant organisms.
PDS estimates the extent to which the behavior of a certain pathway in one sample deviates from that of a set of control samples.
This enables to compute the qualitative input output behavior of a signaling pathway under study as well as the identification of intervention strategies.
This issue is greatly ameliorated for BST models, because even relatively coarse numerical settings of their parameters are often sufficient to capture the behavior of a metabolic pathway system in a semi-quantitative fashion.
Since it is intractable to examine all possible combinations of parameters for non-trivial biological pathways, it is required to have a systematic strategy to explore the parameter space in a computational way so that dynamic behaviors of a given pathway are estimated.
Furthermore, while mitochondrial deficiencies are often treated with metabolites to stimulate the enzyme activities, models will allow evaluation of the influences of metabolite treatments at the mitochondrial level, visualization of the dynamic behavior of the pathway and exploration of a hypothetical rationale of the treatment.
We validate some of the predictions by comparing the dynamic behavior of a number of specific pathways in different organisms to that of the corresponding pathway in S. cerevisiae.
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