Prediction of boundaries between intrinsically ordered and disordered protein regions.
Using proteins with both disordered and ordered regions collected through literature searches and database scanning, we assembled a set of 24-residue long segments centered on their order/disorder boundaries as well as a larger set of non-boundary segments consisting of either order or disorder. We analyzed position-specific amino acid compositions around the order/disorder boundaries and found more than thirty significant (p < 0.05) compositional differences between boundary and non-boundary data. From this analysis, we constructed several logistic regression predictors of order/disorder boundaries using slightly different data modeling approaches. Exact boundary prediction accuracies were estimated to be in the range from 74% to 80% for the different predictors.
Radivojac
Predrag
P
Center for Information Science and Technology, Temple University, USA.
Obradović
Zoran
Z
Brown
Celeste J
CJ
Dunker
A Keith
AK
D000596:Amino Acids / Q000032:analysis; D003198:Computer Simulation; D030562:Databases, Protein; D016015:Logistic Models; D008958:Models, Molecular; D015394:Molecular Structure; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D012680:Sensitivity and Specificity
D000596:Amino Acids; D011506:Proteins