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Drug resistance is commonly encountered during treatment for HIV/AIDS, and decreases the efficacy of the antiviral drugs. Genotyping the infecting virus gives sequence data for computational prediction of resistance, which is more efficient than performing experimental assays for resistance. Current predictions rely on simple rules with modest accuracy; therefore, a prediction method with high accuracy...
This paper presents ExSciTecH, an NSF-funded project deploying volunteer computing (VC) systems to Explore Science, Tecenology, and Health. ExSciTecH aims at radically transforming VC systems and the volunteer's experience. To pursue this goal, ExSciTecH integrates and uses gameplay environments into BOINC, a well-known VC middleware, to involve the volunteers not only for simply donating idle cycles...
Mutations in HIV patients' reverse transcriptase and protease may be related to drug resistance. There are many issues that make difficult the complete elucidation of the relationship between these mutations and drug resistance, such as cross resistance and the limitations to detect the relevance of resistance. Look up tables and rule-based systems are an attempt to classify sequences and predict...
Aloe vera has an immense role as a natural fighter against all kinds of infection. This is an effective wound healing activator and an efficient anti-oxidant to all type of digestion related problems, arthritis, stress, diabetes, cancer and AIDS. The present study attempts to reveal the multi therapeutic properties of Aloe vera by computational analysis. The interaction analysis of the some of the...
Measuring drug resistance is one of the challenging and essential pharmaceutical activities. It is a laborious and costly laboratory-based experimentation. Various clinical and experimental analyses for measuring drug resistance have been carried out. Results have been obtained for different types of therapeutic agents as a consequence of changes in the amino acids compositions in the sequence (mutation)...
This paper shows how a game theoretical analysis can provide a model to determine the factors affecting the switch from CXCR4 coreceptor (X4) to CCR5 coreceptor (R5) in HIV-1 infected individuals. Simulations of the model predict that a persistent immune response suppresses the X4-tropic virus to a low level at first, but later increases in the immune response will trigger the switch from X4 to R5...
HIV-1 integrase (IN)-catalyzed strand transfer is a divalent cationic cofactor dependent reaction which involves IN-DNA interaction. In this work, viral DNA substrates with different lengths were used. The strand transfer activity of IN with these DNA substrates in the presence of Mn2+ and Mg2+ were investigated, as well as some other reaction characters related with IN-DNA interaction. It is found...
Human immunodeficiency virus type 1 (HIV-1) integrase (IN) is an essential enzyme in the lifecycle of this virus and also an important target for the study of anti-HIV drugs. The binding modes of the wild type IN core domain and the W132G mutant with the hydroxycoumarin compound NSC158393 were investigated by using the "relaxed complex" molecular docking approach and molecular dynamics (MD)...
Signal transduction pathways are central to most biological processes. Diversion of such pathways is postulated to be central to the mechanism by which the Human Immunodeficiency Virus-1 (HIV) takes over the human cellular machinery. In this paper, we present an analysis of the interactions between HIV and human signal transduction pathways. We find that the majority of known human pathways are targeted...
HIV (human immunodeficiency virus) infection is fatal because it directly damages human's immune system by infecting CD4+ T cells. Treatment for HIV infection is a complex process that involves interactions among the virus population, the immune system and antiretroviral drugs. However, it is difficult to treat HIV infection because the high mutation rate helps HIV to escape from drug attacks. Therefore,...
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