| Literature DB >> 20802820 |
Peng Chen1, Chunmei Liu, Legand Burge, Mohammad Mahmood, William Southerland, Clay Gloster.
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 centered 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 centers. 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 centers of inter-residue contacts can be predicted accurately.Entities:
Year: 2008 PMID: 20802820 PMCID: PMC2929137 DOI: 10.1109/ICMLA.2008.74
Source DB: PubMed Journal: Int J Data Min Bioinform ISSN: 1748-5673 Impact factor: 0.667