title: Prediction of heme binding residues from protein sequences with integrative sequence profiles.
abstract: BACKGROUND
  The 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 these activities and aid in functional annotation, however, insufficient work has been done on the research of heme binding residues from protein sequence information.
  
  
  METHODS
  We propose a sequence-based approach for accurate prediction of heme binding residues by a novel integrative sequence profile coupling position specific scoring matrices with heme specific physicochemical properties. In order to select the informative physicochemical properties, we design an intuitive feature selection scheme by combining a greedy strategy with correlation analysis.
  
  
  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 tests.
  
  
  CONCLUSIONS
  The novel feature of an integrative sequence profile achieves good performance using a reduced set of feature vector elements.
authors: School of Computer, Wuhan University, Wuhan 430072, China. liujuan@whu.edu.cn.
authors: Yi
authors: Y
authors: Xiong
authors: Juan
authors: J
authors: Liu
authors: Wen
authors: W
authors: Zhang
authors: Tao
authors: T
authors: Zeng