DocumentCode :
2412678
Title :
Unsupervised integration of multiple protein disorder predictors
Author :
Zhang, Ping ; Obradovic, Zoran
Author_Institution :
Center for Inf. Sci. & Technol., Temple Univ., Philadelphia, PA, USA
fYear :
2010
fDate :
18-21 Dec. 2010
Firstpage :
49
Lastpage :
52
Abstract :
Studies of intrinsically disordered proteins that lack a stable tertiary structure but still have important biological functions critically rely on computational methods that predict this property based on sequence information. Although a number of fairly successful models for prediction of protein disorder were developed over the last decade, the quality of their predictions is limited by available cases of confirmed disorders. To more reliably estimate protein disorder from protein sequences, an iterative algorithm is proposed that integrates predictions of multiple disorder models without relying on any protein sequences with confirmed disorder annotation. The iterative method alternately provides the maximum a posterior (MAP) estimation of disorder prediction and the maximum-likelihood (ML) estimation of quality of multiple disorder predictors. Experiments on data used at the Critical Assessment of Techniques for Protein Structure Prediction (CASP7 and CASP8) have shown the effectiveness of the proposed algorithm.
Keywords :
bioinformatics; iterative methods; maximum likelihood estimation; molecular biophysics; molecular configurations; proteins; unsupervised learning; Critical Assessment of Techniques for Protein Structure Prediction; MAP; iterative algorithm; maximum a posterior estimation; maximum-likelihood estimation; multiple protein disorder predictors; protein sequences; sequence information; unsupervised integration; Maximum likelihood estimation; Prediction algorithms; Probabilistic logic; Protein engineering; Proteins; Sensitivity and specificity; disorder prediction; iterative MAP-ML algorithm; meta predictor; protein structure; unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-8306-8
Electronic_ISBN :
978-1-4244-8307-5
Type :
conf
DOI :
10.1109/BIBM.2010.5706534
Filename :
5706534
Link To Document :
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