Prediction of Homo sapiens cancer cells by electrical network modelling of amino acid sequence
by Tanusree Roy; Soma Barman
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 13, No. 1, 2017

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.

Online publication date: Mon, 06-Feb-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com