Design and development of cancer regulatory system by modeling electrical network of gene

摘要

An electrical network system for prostate gene is realized using individual amino acid model to reduce the computational load of existing gene system. A control strategy is also incorporated along with the reduced gene system to control the progression of cancer gene. The amino acids Tyrosine, Phenylalanine, Glutamine and Methionine are treated as inhibitor and Tryptophan as booster element in the cancer regulatory system, which control the growth of cancer. The system performance is analyzed by measuring percentage of error with frequency. The accuracy of the model is tested on 35 gene samples associated with prostate cells and achieved 96.7 % accuracy. The main focus of the paper is to identify the cancerous and healthy prostate genes, and regulate the specific amino acid for inhibiting the growth and metastasis of prostate cancer. The electrical response of the model is truly matched with biological characteristics beyond the frequency of 50 kHz.