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- W2615706747 abstract "$textbf{Background:}$ High mutability of HIV is the driving force of antiretroviral drug resistance, which represents a medical care challenge. $textbf{Method and Model Equation:}$ To detect the mutability of each gene in the HIV-1 genome; a mathematical analysis of HIV-1 genome is performed, depending on a linear relation wherein the probability of spontaneous mutations emergence is directly proportional to the ratio of the gene length to the whole genome length. begin{equation*} {P_g}{S_i} =frac{g}{G} end{equation*} $textbf{Results:}$ $textbf{tat}$, $textbf{vpr}$ and $textbf{vpu}$ are the least mutant genes in HIV-1 genome. Protease $textbf{PROT}$ gene is the least mutant gene component of the polymerases $textbf{pol}$. $textbf{Conclusion:}$ $textbf{tat}$, $textbf{vpr}$ and $textbf{vpu}$ are the best candidates for HIV-1 recombinant subunit vaccines or as a part of $textit{prime and boost}$ vaccine combinations. Also; the protease inhibitor-based regime represents a high genetic barrier for HIV to overcome." @default.
- W2615706747 created "2017-05-26" @default.
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- W2615706747 date "2019-01-01" @default.
- W2615706747 modified "2023-10-16" @default.
- W2615706747 title "Mathematical Analysis of the Probability of Spontaneous Mutations in HIV-1 Genome and Their Role in the Emergence of Resistance to Anti-Retroviral Therapy" @default.
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- W2615706747 doi "https://doi.org/10.4236/aim.2019.911057" @default.
- W2615706747 hasPublicationYear "2019" @default.
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