Prediction of inter-residue contact clusters from hydrophobic cores
by Peng Chen, Chunmei Liu, Legand Burge, Mohammad Mahmood, William Southerland, Clay Gloster
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 4, No. 6, 2010

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.

Online publication date: Thu, 16-Dec-2010

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