title: Prediction of inter-residue contact clusters from hydrophobic cores.
abstract: A contact map is a key factor representing a specific protein structure. To simplify the protein contact map prediction, we predict the inter-residue contact clusters centred at the groups of their surrounding inter-residue contacts. In this paper, we adopt a Support Vector Machine (SVM)-based approach to predict the inter-residue contact cluster centres. The input of the SVM predictor includes sequence profile, evolutionary rate and predicted secondary structure. The SVM predictor is based on hydrophobic cores that may be considered as locations of the inter-residue contact clusters. About 35% of clustering centres of inter-residue contacts can be predicted accurately.
authors.affiliation: Department of Systems and Computer Science, Howard University, 2400 Sixth Street, NW, Washington, DC 20059, USA. pchen1978@gmail.com
authors.forename: Peng
authors.initials: P
authors.lastname: Chen
authors.forename: Chunmei
authors.initials: C
authors.lastname: Liu
authors.forename: Legand
authors.initials: L
authors.lastname: Burge
authors.forename: Mohammad
authors.initials: M
authors.lastname: Mahmood
authors.forename: William
authors.initials: W
authors.lastname: Southerland
authors.forename: Clay
authors.initials: C
authors.lastname: Gloster
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D016000:Cluster Analysis; D057927:Hydrophobic and Hydrophilic Interactions; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins