• DocumentCode
    1712972
  • Title

    Statistical analysis of protein molecules

  • Author

    Shah, Kushal

  • Author_Institution
    Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, entropy and auto-correlation values of main chain dihedral angles of 22,356 protein molecules (with less than 90% sequence identity, and downloaded from the RCSB Protein Data Bank) are calculated and found to lie within a well specified range for most proteins. Also, the entropy values obey a Gaussian distribution, which indicates that entropy plays a crucial role in evolution and conservation of protein tertiary structures. A comparison of the auto-correlation values of the dihedral angles of the entire protein molecule with those of the alpha helices and beta sheets indicates that random coils play an important role in determining the tertiary structure of protein molecules.
  • Keywords
    Bioinformatics; Correlation; Entropy; Genomics; Probability distribution; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2013 National Conference on
  • Conference_Location
    New Delhi, India
  • Print_ISBN
    978-1-4673-5950-4
  • Electronic_ISBN
    978-1-4673-5951-1
  • Type

    conf

  • DOI
    10.1109/NCC.2013.6488007
  • Filename
    6488007