Abstract
In AIDS treatments, it is an imperative problem to reduce the risk of the drug resistance. The previous study discussed which HIV-1 gene products are an ideal drug target not to develop drug resistance by applying some ideas of the graph theory, and suggested that the drug resistance would not develop if the drug target molecule functions as ”hub” in a chemical network where HIV-1 gene products interact directly or indirectly with intracellular agents in a HIV-1 host cell. The present study fortifies this suggestion in mathematical framework. The study develops the expression for a probability of drug resistance developing over the two different types: non-hub and hub of drug targets, and demonstrates that the hub drug target is more favorable for the drug resistance prevention than the non-hub one.
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Harada, K., Ishida, Y. (2009). A Network Approach for HIV-1 Drug Resistance Prevention. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_97
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DOI: https://doi.org/10.1007/978-3-642-04592-9_97
Publisher Name: Springer, Berlin, Heidelberg
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