Figure 1
From: Principles of proteome allocation are revealed using proteomic data and genome-scale models
Model-based interpretation of proteomic data.
(a) Predicted mass fractions are validated by proteins grouped by COG for optimal and generalist ME models. Ellipses show 95% confidence intervals. (b) Growth rate predictions improve due to proteome sector constraints. (c) The model predicts global proteome reallocation due to sector constraints for Metabolic (M) and Expression (E) systems. (d) The ME model computes global metabolic shifts due to proteome reallocation. Abbreviations: C, Energy production and conversion; E, Amino acid transport and metabolism; G, Carbohydrate transport and metabolism; J, Translation, ribosomal structure and biogenesis; M, Cell wall/membrane/envelope biogenesis; O, Posttranslational modification, protein turnover, chaperones; CPS, Cellular Processes and Signaling; ISP, Information Storage and Processing; MET, Metabolism; MUU, Mobilome, Unknown, and Ungrouped; SSE, sum of squared errors.
