Related Experiment Video
Updated: Jul 4, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
Multi-science decision support for HIV drug resistance treatment
Peter Sloot1, Peter Coveney, Marian T Bubak
1Section Computational Science, University of Amsterdam, Amsterdam, 1098SJ, The Netherlands. sloot@science.uva.nl
Abstract:
The complete cascade from genome, proteome, metabolome, and physiome, to health forms multiscale, multiscience systems and crosses many orders of magnitude in temporal and spatial scales. The interactions between these systems create exquisite multitiered networks, with each component in nonlinear contact with many interaction partners. Understanding, quantifying, and handling this complexity is one of the biggest scientific challenges of our time. In this paper we argue that computer science in general, and Grid computing in particular, provide the language needed to study and understand these systems, and discuss a case study in decision support for HIV drug resistance treatment within the European ViroLab project.
Related Concept Videos
Therapeutic Drug Monitoring: Affecting Factors
Retrovirus Life Cycles
Treatment Resistant Cancers
Factors Affecting Drug Response: Overview
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Treatment Resistent Cancers

