ArticleNature communications2016
Relative rate and location of intra-host HIV evolution to evade cellular immunity are predictable.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
What it found
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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
76 citing papers in PubMed, 147 citations in OpenAlex.
- MVA.HIVconsvX vaccination-evoked T cell expansion inversely associates with age in people with HIV-1 on antiretroviral therapy.The Journal of clinical investigation · 2026Trial
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- Design of an immunogen containing multidimensionally conserved and immunogenic parts of the HIV proteome.PLoS computational biology · 2026Article
- Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026Article
- Exploring novel kinetics of automated HMicrobiology spectrum · 2026Article
- Forecasting Multitrait Resistance Evolution under Antibiotic Stress.Molecular biology and evolution · 2026Article
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- VRC01 Selects Rare HIV Escape Mutations After Acquisition in Antibody-Mediated Prevention Trials.bioRxiv : the preprint server for biology · 2025Article
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- A binary trait model reveals the fitness effects of HIV-1 escape from T cell responses.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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- Efficient epistasis inference via higher-order covariance matrix factorization.bioRxiv : the preprint server for biology · 2024Article
- A binary trait model reveals the fitness effects of HIV-1 escape from T cell responses.bioRxiv : the preprint server for biology · 2024Article
- Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections.Genome biology · 2024Article
- Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024Review
- Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Impact of ChAdOx1 or DNA Prime Vaccination on Magnitude, Breadth, and Focus of MVA-Boosted Immunogen-Specific T Cell Responses.Vaccines · 2024Article
- Review
16 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
6 authors at 5 institutions in 2 countries.
Funding
Abstract
Human immunodeficiency virus (HIV) evolves within infected persons to escape being destroyed by the host immune system, thereby preventing effective immune control of infection. Here, we combine methods from evolutionary dynamics and statistical physics to simulate in vivo HIV sequence evolution, predicting the relative rate of escape and the location of escape mutations in response to T-cell-mediated immune pressure in a cohort of 17 persons with acute HIV infection. Predicted and clinically observed times to escape immune responses agree well, and we show that the mutational pathways to escape depend on the viral sequence background due to epistatic interactions. The ability to predict escape pathways and the duration over which control is maintained by specific immune responses open the door to rational design of immunotherapeutic strategies that might enable long-term control of HIV infection. Our approach enables intra-host evolution of a human pathogen to be predicted in a probabilistic framework.
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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.