A proteomic growth model predicts small growth defects induced by protein misfolding.

<p>(<b>A</b>) To select the set of proteins that best correlate with growth, we chose an <i>R</i>² cutoff of 0.367, or 0.371 for a set that excludes UPR-cyto proteins (inset). (<b>B</b>) The predicted growth differences between paired strains, when each pair is held out from the dataset used to calibrate the proteomic growth model, fall within one standard deviation of each experimental measurement [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075320#B4" target="_blank">4</a>]. The UPR-cyto excluding model generates similar predictions (inset). Both models’ predictions have smaller standard deviations (vertical error) than growth measurements (horizontal error).