DocumentCode
2008288
Title
Prediction of Inter-residue Contact Clusters from Hydrophobic Cores
Author
Chen, Peng ; Liu, Chunmei ; Burge, Legand ; Mohammad, Mahmood ; Southerland, Bill ; Gloster, Clay
Author_Institution
Dept. of Syst. & Comput. Sci., Howard Univ., Washington, DC, USA
fYear
2008
fDate
11-13 Dec. 2008
Firstpage
703
Lastpage
708
Abstract
Motivation: Contact map is a key factor to represent a specific protein structure. As previous work reported, even a corrupted contact map can be used to reconstruct its corresponding protein structure. Thus we can predict the structure of a protein partially through the contact map prediction. To simplify the protein contact map prediction, we predict the inter-residue contact clusters centered at the groups of their neighboring contacts instead.Results: In this paper, we adopt a SVM predictor based approach to predict the inter-residue contact cluster centers. The input information 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 groups of their neighboring inter-residue contacts. As a result, about 35% clustering centers of inter-residue contacts can accurately be predicted.
Keywords
support vector machines; contact map prediction; hydrophobic cores; inter-residue contact clusters; support vector machine; Accuracy; Application software; Biochemistry; Computer science; Contacts; Machine learning; Mathematics; Protein engineering; Sequences; Support vector machines; Contact Cluster; Hydrophobic Core; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-0-7695-3495-4
Type
conf
DOI
10.1109/ICMLA.2008.74
Filename
4725052
Link To Document