DocumentCode :
2890009
Title :
Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties
Author :
Xiong, Yi ; Zhang, Wen ; Zeng, Tao ; Liu, Juan
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
12-15 Nov. 2011
Firstpage :
143
Lastpage :
146
Abstract :
Heme-protein interactions are essential for various biological processes such as electron transfer, catalysis, signal transduction and the control of gene expression. The knowledge of heme binding residues can provide crucial clues to understand the mechanism of heme- protein interactions and aid in functional annotation. In the present work, we propose a sequence-based approach for the accurate prediction of heme binding residues by a novel integrative sequence profile coupling position specific scoring matrices with heme specific physicochemical properties. Particularly, we design an intuitive feature selection scheme for informative physicochemical properties. As shown in the primary results, our integrative sequence profile approach for prediction of heme binding residues outperforms the conventional methods using amino acid and evolutionary information on the 5-fold cross validation and the independent test.
Keywords :
biology computing; organic compounds; proteins; 5-fold cross validation; Heme binding sites prediction; Heme-protein interactions; amino acid; biological process; functional annotation; independent test; informative physicochemical properties; integrative sequence profile coupling evolutionary information; integrative sequence profile coupling position specific scoring matrices; intuitive feature selection scheme; sequence-based approach; Amino acids; Bioinformatics; Correlation; Databases; Proteins; Training; Vectors; Amino acid index; Heme binding residue; Integrative sequence profile; Position specific scoring matrix; Support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1799-4
Type :
conf
DOI :
10.1109/BIBM.2011.8
Filename :
6120425
Link To Document :
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