Title: Prediction of Homo sapiens cancer cells by electrical network modelling of amino acid sequence
Authors: Tanusree Roy; Soma Barman
Addresses: Institute of Radio Physics & Electronics, University of Calcutta, Kolkata, India ' Institute of Radio Physics & Electronics, University of Calcutta, Kolkata, India
Abstract: Amino acids are the essential primary component of every living organism, deficiency of which may lead to different types of genetic abnormalities in cells. In the present paper, electrical network modelling technique is applied on Homo sapiens genes for prediction of cancer disease. Amino acids are designed using passive electrical components i.e. resistor, inductor and capacitor. The network of amino acid sequence is used to predict the cancer genes by analysing pole-zero distribution and impedance of the network. The results show high affinity of the hydrophilic amino acids in cancer cell related genes compare to healthy genes, which validate the medical research reports. Since the present network model realisation is based on amino acid level, the concept is significantly better than other modelling approach in terms of complexity and computational load.
Keywords: amino acids; amino acid sequences; cancer genomics; genetic abnormalities; hydrophobic; hydrophilic; electrical network modelling; pole-zero distribution; impedance; LabVIEW; cancer cells; cancer prediction; cancer genes; bioinformatics.
International Journal of Bioinformatics Research and Applications, 2017 Vol.13 No.1, pp.75 - 93
Accepted: 27 Jun 2016
Published online: 27 Jan 2017 *