ArticleJournal of mathematical biology2012
Evolutionary game theoretic strategy for optimal drug delivery to influence selection pressure in treatment of HIV-1.
Article in Journal of mathematical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A study on the dynamics of temporary HIV treatment to assess the controversial outcomes of clinical trials: An in-silico approach.PloS one · 2018Article
- Assessing Uncertainty in A2 Respiratory Syncytial Virus Viral Dynamics.Computational and mathematical methods in medicine · 2015Article
- HIV reservoirs and immune surveillance evasion cause the failure of structured treatment interruptions: a computational study.PloS one · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytotoxic T-lymphocyte (CTL) escape mutation is associated with long-term behaviors of human immunodeficiency virus type 1 (HIV-1). Recent studies indicate heterogeneous behaviors of reversible and conservative mutants while the selection pressure changes. The purpose of this study is to optimize the selection pressure to minimize the long-term virus load. The results can be used to assist in delivery of highly loaded cognate peptide-pulsed dendritic cells (DC) into lymph nodes that could change the selection pressure. This mechanism may be employed for controlled drug delivery. A mathematical model is proposed in this paper to describe the evolutionary dynamics involving viruses and T cells. We formulate the optimization problem into the framework of evolutionary game theory, and solve for the optimal control of the selection pressure as a neighborhood invader strategy. The strategy dynamics can be obtained to evolve the immune system to the best controlled state. The study may shed light on optimal design of HIV-1 therapy based on optimization of adaptive CTL immune response.
Indexed as
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21503727What OpenQuestion holds
Registered trials
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