Predictive models for the maximum recommended therapeutic dose (MRTD) of anti-retroviral drugs

• In: Bioavailability/Bioequivalence Posters
• At: Hyderabad (India) (2011)
• Type: Poster
• Poster code: BB-P-03
• By: GOVENDER, Thirumala (University of Kwazulu Natal, South Africa, Durban, South Africa)
• Co-author(s): Branham, M. (University of KwaZulu Natal, South Africa, Durban, South Africa)
  
• Abstract:

  Background: Anti-retroviral drugs (ARVs) are often prescribed in high doses or in combinations which increase the occurrence of adverse side effects. The use of computational methods, such as quantitative-structure property relationships (QSPR) and artificial neural networks (ANN), to predict the maximum recommended therapeutic dose (MRTD) of ARVs

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