title: Identification of Intrinsically Unstructured Proteins using hierarchical classifier.
abstract: It is suggested that protein functions only when folded into a particular 3-D structure. Recently, many protein regions and some entire proteins have been identified with no definite tertiary structure, but presenting instead as dynamic, disorder ensembles under different physiochemical circumstances. These proteins and regions are known as Intrinsically Unstructured regions and Proteins (IUP). We constructed a Recursive Maximum Contrast Tree (RMCT) based classifier to identify IUP. The classifier has been benchmarked against industrial standard PONDR VLXT on out-of-sample data by external evaluators. The IUP predictor is a viable alternative software tool for identifying intrinsic unstructured regions and proteins.
authors.affiliation: Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts 02114, USA. yang@hadron.mgh.harvard.edu
authors.forename: Jack Y
authors.initials: JY
authors.lastname: Yang
authors.forename: Mary Qu
authors.initials: MQ
authors.lastname: Yang