Title :
Investigating the Interaction Between Oncogene and Tumor Suppressor Protein
Author :
Pirogova, E. ; Akay, M. ; Cosic, I.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. Melbourne, Melbourne, VIC
Abstract :
It is known that cancer develops when cells in a part of the body begin to grow out of control. Because cancer cells continue to grow and divide with no order, they never differentiate into the specific tissue, and thus, they are functionally different from normal cells. However, there are some genes that help to prevent cells´ malignant behavior, and therefore, are referred to as tumor suppressor genes. Here, we have investigated the structural and functional relationships of p53, oncogene and interleukin 2 (IL2) proteins using the resonant recognition model (RRM), a physico-mathematical approach based on digital signal processing methods. In addition, using the RRM concepts, we have designed the peptide analoges that would exhibit tumor-suppression-like activity and be used in anticancer vaccine development.
Keywords :
cancer; genetics; medical signal processing; molecular biophysics; proteins; tumours; anticancer vaccine development; cancer cells; cell malignancy; digital signal processing method; interleukin 2 proteins; oncogene; p53; peptide analoges; resonant recognition model; tumor suppressor genes; tumor suppressor protein; tumor-suppression-like activity; Characteristic frequency; oncogenic proteins; protein function; signal processing; tumor; Algorithms; Amino Acid Sequence; Amino Acids; Fourier Analysis; Humans; Interleukin-2; Molecular Sequence Data; Oncogene Proteins; Oncogenes; Peptides; Protein Conformation; Protein Interaction Domains and Motifs; Signal Processing, Computer-Assisted; Tumor Suppressor Protein p53;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2008.2003338
