ReviewBMC biology2013
Modeling the within-host dynamics of HIV infection.
Review in BMC biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
126 citing papers in PubMed.
- Bispecific 10E8.4/iMab broadly neutralizing antibody in people with or without HIV-1: a partially randomized phase 1 trial.Nature medicine · 2026Trial
- Treatment with integrase inhibitor suggests a new interpretation of HIV RNA decay curves that reveals a subset of cells with slow integration.PLoS pathogens · 2017Trial
- Integrating viral kinetics and population spread in a one health framework to explain variant-specific epidemic dynamics.One health (Amsterdam, Netherlands) · 2026Article
- Disease-Causing Mechanisms and Therapeutic Targets in Infectious Diseases: Implications for Clinical Management and Public Health.Biomedicines · 2026Review
- The decay of HIV under anti-retroviral therapy is biphasic even in humanized mice with just T cells.Journal of virology · 2026Article
- Breakthrough infections and incomplete vaccine efficacy drive pathogen immune escape.PloS one · 2026Article
- Mechanism for evolution of diverse autologous antibodies upon broadly neutralizing antibody therapy of people with HIV.Cell reports · 2025Article
- Review
- Multi-objective control to schedule therapies for acute viral infections.Journal of mathematical biology · 2025Article
- Trade-off between the antiviral and vaccinal effects of antibody therapy in the humoral response to HIV.Journal of the Royal Society, Interface · 2024Article
- Antiviral capacity of the early CD8 T-cell response is predictive of natural control of SIV infection: Learning in vivo dynamics using ex vivo data.PLoS computational biology · 2024Article
- Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024Review
- Measles Infection Dose Responses: Insights from Mathematical Modeling.Bulletin of mathematical biology · 2024Article
- Combating antimicrobial resistance in malaria, HIV and tuberculosis.Nature reviews. Drug discovery · 2024Review
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Modelling the impact of JNJ-1802, a first-in-class dengue inhibitor blocking the NS3-NS4B interaction, on in-vitro DENV-2 dynamics.PLoS computational biology · 2023Article
- CD8Nature communications · 2023Article
- Review
- Patch formation driven by stochastic effects of interaction between viruses and defective interfering particles.PLoS computational biology · 2023Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The new field of viral dynamics, based on within-host modeling of viral infections, began with models of human immunodeficiency virus (HIV), but now includes many viral infections. Here we review developments in HIV modeling, emphasizing quantitative findings about HIV biology uncovered by studying acute infection, the response to drug therapy and the rate of generation of HIV variants that escape immune responses. We show how modeling has revealed many dynamical features of HIV infection and how it may provide insight into the ultimate cure for this infection.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.