Sentence examples for mathematical modeling predicted from inspiring English sources
Mathematical modeling predicted these changes and showed that the maximal effect of addition of a sorbent to the dialysate is equivalent to that of an unlimited increase in Q(d).
In addition, mathematical modeling predicted more than 20 years ago that regulation of mRNA stability is essential for rhythmic mRNA expression.
Mathematical modeling predicted and microfluidic single-cell experiments confirmed that integral of the stimulus (or area, concentration × duration) controls the fraction of cells that activate NF-κB in the population.
Here we show that mathematical modeling predicts the opposite, that the kinase mutant CKIepsilon tau) increases kinase activity, and we verify this prediction experimentally.
These findings are in agreement with our other experimental findings [16], as well as our mathematical modeling predicting that high concentrations of free (monomeric) signaling-competent Gαo-GDP are produced upon activation of Go-coupled GPCRs [33].
Taken that the threshold for calcineurin activity is near the NFAT saturation, our mathematical modeling predicts that cooperativity of at least 7 of the 13 NFATc2 dephosphorylation sites would be sufficient to induce a binary IL-2 expression.
Mathematical modeling predicts a ~1% cardiomyocyte renewal rate at the age of 25 and 0.45% at the age of 75.
Mathematical modeling predicts a linear relationship between the monomeric affinity of the HLA-A2/CD8 interaction and TCR/pMHCI off rate.
Furthermore, mathematical modeling predicts that an optimized matching algorithm and a national PKE program would improve outcomes and reduce healthcare costs for highly sensitized patients 114.
Mathematical modeling predicts that alterations in protein synthesis and degradation rates should change the oscillations period [ 79, 94] and this has been confirmed experimentally (Summarized in Table 3).
These challenging experimental results were sustained by data from mathematical modeling, predicting that diminished stimulation of growth is indeed optimal for tissue aging.
