Exploring Mutational Pathways of HIV Using Genetic Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 2, February 2014

Exploring Mutational Pathways of HIV Using Genetic Algorithm

K. M. Monica

The Human Immunodeficiency virus (HIV) is caused due to the failure of the immune system that leads to life threatening infections and cancer. Even though most drug resistance mutations have been identified throughout, the dynamics and temporal patterns of these mutations can still be explored. In order to explore the drug resistance mutation, Temporal Bayesian Networks (TNBN) algorithm is used where data is extracted from Stanford HIV drug resistance database. TNBN work needs more iterative process and training data for accurate information and it has failed to compare two different mixture treatments along with the temporal occurrence of drug resistant mutations, in order to predict the most effective treatment. The proposed work performs P_GA (Prediction Genetic Algorithm) which is a prediction scheme with the slotted training dataset changing values. The study shows the proposed techniques provides better results than existing temporal node Bayesian network scheme in terms of accuracy.

Keywords: Drug resistance, Dynamic Bayesian, Mutation, P-GA, TNBN

Edition: Volume 3 Issue 2, February 2014

Pages: 83 - 87

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K. M. Monica, "Exploring Mutational Pathways of HIV Using Genetic Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2013863, Volume 3 Issue 2, February 2014, 83 - 87

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