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A previously generated homology model identified an extracellular residue, D191, as a potential regulator of agonist binding.
Conditioning on each SNP using a logistic regression model identified an independent effect for g.66493737C>T on g.66494218A>C (P = 0.0108) but not for g.66494218A>C on g.66493737C>T (P = 0.7388) and therefore we considered further only the results for g.66493737C>T.
A second study using a naphthalene inhalation injury model identified an additional population of tracheal basal cells, this time expressing the keratin-14 (K14) marker [5].
The multilevel model identified an obvious intracluster correlation at the city level (primary unit in the sampling frame), with an intracluster correlation coefficient of 34.5 %.
As predicted, the biomechanical model identified an increased neural component of passive movement resistance in hand and finger flexor muscles in PD subjects, whereas the elastic and viscous components were similar to controls.
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Scaffold analysis and molecular docking of the compounds used in the QSAR model identified a potential chemical scaffold.
Our pharmacophore model identified a number of potential lead compounds from which we selected 11 compounds to evaluate.
The HBCP model identified a harmful treatment effect in a small sample, which has been independently confirmed from the results of other γ-secretase inhibitor.
The prediction model identified a ROSC event before ECPR as a predictor of survival in ECPR.
While our model identified a number of factors important in describing household food insecurity, it explained only about 10%% of the variance.
The MCI model identified a MC candidate, which is marked by a horizontal black bar, and the MCF model was able to identify a MC (MC17), which is bounded between two vertical red lines, as shown in Fig. 6d.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com