Mapping the stabilome: a novel computational method for classifying metabolic protein stability

BMC Systems Biology

Table 3 Feature analysis of proteins in stable class

Stable vs Unstable Plus Non-Assigned
Domain/Motif	E-value
Transmembrane	3.99e-22
Signal Peptide	3.39e-17
RNA Recognition Motif	1.20e-03‡
PTM
Acetylation	4.11e-28‡
Phosphorylation	1.56e-21‡
Glycosylation	5.65e-03
Disorder
Hot loops: 0-20%	5.72e-03‡
Coils: 80-100%	1.56e-02‡
Hot loops: 80-100%	4.72e-03‡
N-degron	5.11e-32

Feature types found to be significantly (Fisher’s Exact test, E-value < 0.05) over-/under-represented in the stable class when compared to unstable and non-assigned proteins. E-values for over-represented features are indicated with the symbol ‡, otherwise the E-value represents an under-representation. Features include domain/architecture types, PTMs, and disorder classifications based on three disorder types (“loops/coils”, “hotloops” and “rem465” as defined by Linding and colleagues [26]) and percentage of sequence containing the disorder type. Lastly, the presence of a destabilizing N-terminal residue is shown, defined as the N-terminal residue of a mature protein being one of R, K, H, F, L, W, I or Y. These results are from the full data set (without removal of transmembrane or secreted proteins).

ISSN: 1752-0509