ArticleCurrent opinion in systems biology2018
Modeling the immune response to HIV infection.
Article in Current opinion in systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 27 citations in OpenAlex.
- Review
- Modeling dynamics of acute HIV infection incorporating density-dependent cell death and multiplicity of infection.PLoS computational biology · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- Modeling resistance to the broadly neutralizing antibody PGT121 in people living with HIV-1.PLoS computational biology · 2024Article
- Genosensors as an alternative diagnostic sensing approaches for specific detection of virus species: A review of common techniques and outcomes.Trends in analytical chemistry : TRAC · 2022Review
- A Higher-Order Galerkin Time Discretization and Numerical Comparisons for Two Models of HIV Infection.Computational and mathematical methods in medicine · 2022Article
- Mathematical analysis of a within-host model of SARS-CoV-2.Advances in difference equations · 2021Article
- Stochastic dynamics of Francisella tularensis infection and replication.PLoS computational biology · 2020Article
- Immunological Paradigms, Mechanisms, and Models: Conceptual Understanding Is a Prerequisite to Effective Modeling.Frontiers in immunology · 2019Review
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 at 2 institutions in 2 countries.
Funding
Abstract
The interplay between immune response and HIV is intensely studied via mathematical modeling, with significant insights but few direct answers. In this short review, we highlight advances and knowledge gaps across different aspects of immunity. In particular, we identify the innate immune response and its role in priming the adaptive response as ripe for modeling. The latter have been the focus of most modeling studies, but we also synthesize key outstanding questions regarding effector mechanisms of cellular immunity and development of broadly neutralizing antibodies. Thus far, most modeling studies aimed to infer general immune mechanisms; we foresee that significant progress will be made next by detailed quantitative fitting of models to data, and prediction of immune responses.
Identifiers
What OpenQuestion 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 OpenQuestion graph.