• 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