Investigating the interaction between oncogene and tumor suppressor protein

Authors:
E. Pirogova;M. Akay;I. Cosic
Affiliations:
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia;Harrington Department of Bioengineering, Fulton School of Engineering, Arizona State University, Tempe, AZ;School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2009

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Introduction to the special section on biomedical informatics

IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics

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Abstract

Itis known that cancer develops when cells in a part of the body begin to growout 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 physicomathematical approach based on digital signal processing methods. In addition, using theRRMconcepts, we have designed the peptide analoges that would exhibit tumor-suppression-like activity and be used in anticancer vaccine development.