• DocumentCode
    2924136
  • Title

    Mathematical Analysis of Diabetes Related Proteins Having High Sequence Complexity

  • Author

    Rao, Allam Appa ; Bhremeramba ; Sridhar, G.R.

  • Author_Institution
    Dept. of Comput. Sci. & Syst. Eng., Andhra Univ., Visakhapatnam
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    810
  • Lastpage
    821
  • Abstract
    We have searched for proteins affecting diabetes and we also found in which common species these proteins were more prevalent and have performed protein composition analysis of those having high sequence complexity. About 90% of rat genes have counterparts in the mouse and human genomes and this is the reason to find proteins common among the three different species (Rat Genome Sequencing Consortium 2004, www.ratbehaviour.org/Ratsmice.htm). The distribution pattern of the protein variates was examined and bivariate plots were further drawn. The bivariate plots show a similar clustering for Rattus norvegicus and Mus musculus but show some variation in Homo sapiens indicating that the plots are correct as Rattus norvegicus and Mus musculus are relatively close in the phylogenetic tree (Sridhar, GR. et al) hence having a similar clustering. The proteins which are away from the cluster are outliers due to the reason that they are having different compositional characteristics
  • Keywords
    biology computing; diseases; genetics; mathematical analysis; proteins; Homo sapiens; Mus musculus; Rattus norvegicus; diabetes; human genome; mathematical analysis; mouse genome; phylogenetic tree; protein composition analysis; protein variate distribution pattern; rat genes; sequence complexity; Artificial intelligence; Biochemistry; Bioinformatics; Computer science; Diabetes; Genomics; Mathematical analysis; Organisms; Protein engineering; Sequences; Comparative genomics; compositional analysis; sequence complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2728-0
  • Type

    conf

  • DOI
    10.1109/ICTAI.2006.79
  • Filename
    4031977