• DocumentCode
    591685
  • Title

    Homology modeling of the DNA binding and dimerization partner domains of E2F1 transcription factor protein in homo sapiens

  • Author

    Nayan, M. Yunus ; Jusoh, S.A. ; Mutalip, S.S.M. ; Mohamed, R.

  • Author_Institution
    Dept. of Pharm. Life Sci., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    E2F1 is a sole member of E2F transcription factors family that embraces a unique ability to mediate two contradictory processes of cell proliferation and apoptosis via numerous pathways. The atomistic structure of E2F protein would provide insight into understanding of the protein-DNA interaction in order to regulate crucial biological pathways. However, the high resolution structure of E2F1 protein is not yet fully crystallized. Here, we report the homology model of E2F1 covering residues 126 to 301 which comprises the DNA binding and dimerization partner domains. Structural construction and refinement of the model was done using MODELLER 9v9. The incorporation of a segment consists of residues 192 to 200 that resulted from the I-Tasser modeling prediction server. The RMSD for the final model structure is less than 1 Å after being superimposed with the template structures, 1CF7.pdb and 2AZE.pdb. The Ramachandran plot also showed that only 1.2 % of amino acid residues are in the disfavoured region. Interestingly, the developed model is found to resemble to one of the I-Tasser top predicted models.
  • Keywords
    DNA; cellular biophysics; molecular biophysics; molecular configurations; proteins; DNA binding; E2F1 transcription factor protein; I-Tasser modeling prediction server; ModelleR 9v9; RMSD; Ramachandran plot; amino acid residues; atomistic structure; cell apoptosis; cell proliferation; dimerization partner domains; high resolution structure; homo sapiens; homology modeling; protein-DNA interaction; structural construction; structural refinement; Biological system modeling; Computational modeling; DNA; Predictive models; Proteins; Servers; Solid modeling; E2F1; I-Tasser; homology modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business, Engineering and Industrial Applications (ISBEIA), 2012 IEEE Symposium on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4577-1632-4
  • Type

    conf

  • DOI
    10.1109/ISBEIA.2012.6422901
  • Filename
    6422901