Prediction of Inter-residue Contact Clusters from Hydrophobic Cores

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 s...

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Bibliographic Details
Published in:2008 Seventh International Conference on Machine Learning and Applications 2008-12, Vol.2008, p.703-708
Main Authors: Peng Chen, Chunmei Liu, Burge, L., Mohammad, M., Southerland, B., Gloster, C.
Format: Article
Language:English
Subjects:
Accuracy
Application software
Biochemistry
Computer science
Contact Cluster
Contacts
Hydrophobic Core
Machine learning
Mathematics
Protein engineering
Sequences
Support vector machines
SVM
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Summary: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.
ISSN:1748-5673
1748-5681
DOI:10.1109/ICMLA.2008.74