Abstract
Since genomic data and the collective functions of amino acids directly dictate the phenotype of the cell thus more accurate interpretation of the cause of biological phenomena, the study of amino acid is an important area of research in cancer genomics. In the present case, an equivalent electrical network model of amino acid chain has been designed based on their physicochemical properties and the network behavior has been examined on several Homo sapiens cancer and non-cancer cells. The network response yields promising results in cancer prediction.
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Acknowledgments
The authors wish to thank the Center for Research in Nanoscience and Nanotechnology (CRNN), University of Calcutta, for providing funding support to this research work.
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Roy, T., Das, S., Barman, S. (2014). Electrical Network Modeling of Amino Acid String and Its Application in Cancer Cell Prediction. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_28
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DOI: https://doi.org/10.1007/978-81-322-1665-0_28
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