• DocumentCode
    406897
  • Title

    Application of the resonant recognition model to analysis of interaction between viral and tumor suppressor proteins

  • Author

    Cosic, I. ; Pirogova, E. ; Akay, M.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Vic., Australia
  • Volume
    3
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    2398
  • Abstract
    Recent findings in cancer research has established a connection between a T-antigen - common virus - and a brain tumor in children. The studies suggested the T-antigen, the viral component of a specific virus, called the JC virus, plays a significant role in the development of the most frequent type of malignant brain tumors by blocking the functionality of tumor suppressor proteins such as p53 and pRb. Here we have investigated the structure and function relationships of T-antigen, p53 and pRb proteins using the Resonant Recognition Model (RRM), a physico-mathematical approach based on digital signal processing methods.
  • Keywords
    cancer; medical signal processing; microorganisms; paediatrics; proteins; tumours; JC virus; T-antigen; brain tumor; cancer research; children; digital signal processing methods; malignant brain tumors; p53; pRb; physico-mathematical approach; resonant recognition model; tumor suppressor proteins; viral component; viral suppressor proteins; Amino acids; Cancer; Digital signal processing; Electrons; Frequency; Neoplasms; Protein engineering; Protein sequence; Resonance; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1280399
  • Filename
    1280399