DocumentCode :
2871725
Title :
A Four-Layer Reference Model for Prediction of Protein Side-Chains Based on Dynamic Bayesian Networks
Author :
Xu Huang ; Qiang Lv ; Dajun Miao ; Peide Qian
Author_Institution :
Sch. of Inf. & Eng., Huzhou Teachers Coll., Huzhou, China
Volume :
2
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
165
Lastpage :
169
Abstract :
A four-layer reference model for prediction of protein side-chains based on Dynamic Bayesian Networks is proposed. The relation of backbone with four side chain torsion angles is considered in this model, and the problem caused by sparse data is resolved to a certain extent. Experiment shows that this method has produced a better DBN model and more exact prediction results. It indicates that the four-layer reference model is effective.
Keywords :
belief networks; biology computing; proteins; DBN model; chain torsion angles; dynamic Bayesian network; four-layer reference model; protein side-chain prediction; sparse data; Amino acids; Bayesian methods; Data models; Hidden Markov models; Predictive models; Proteins; Training; Dynamic Bayesian Networks; Prediction of Protein Structure; Prediction of Side-chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.193
Filename :
6405592
Link To Document :
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