title: Prediction of boundaries between intrinsically ordered and disordered protein regions.
abstract: 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.
authors.affiliation: Center for Information Science and Technology, Temple University, USA.
authors.forename: Predrag
authors.initials: P
authors.lastname: Radivojac
authors.forename: Zoran
authors.initials: Z
authors.lastname: Obradović
authors.forename: Celeste J
authors.initials: CJ
authors.lastname: Brown
authors.forename: A Keith
authors.initials: AK
authors.lastname: Dunker
mesh_terms: 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
chemical_list: D000596:Amino Acids; D011506:Proteins