Evidence map›Paper›PMID 21304934›Full record

ArticlePLoS computational biology2011

Stochastic theory of early viral infection: continuous versus burst production of virions.

John E Pearson, Paul Krapivsky, Alan S Perelson

Abstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed.

  1. Article
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  6. The kinetics of SARS-CoV-2 infection based on a human challenge study.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  19. Review
  20. Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

John E PearsonTheoretical Biology & Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Paul Krapivsky
Alan S Perelson

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI BHARDWAJ, NINA · 2006 to 2011
$290.5M
Viral and Host Determinants of HIV-1 TransmissionU01AI067854 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F · 2005 to 2005
$14.9M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
MODELING VIRAL AND T LYMPHOCYTE DYNAMICSR01RR006555 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1991 to 2011
$3.9M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Immune System Modeling/HIVR37AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 2002 to 2011
$2.4M
NCRR NIH HHS R01 RR006555NCRR NIH HHS RR06555NIAID NIH HHS AI28433NIAID NIH HHS AI67854NIAID NIH HHS R01 AI028433NIAID NIH HHS R37 AI028433NIAID NIH HHS U01 AI067854NIAID NIH HHS U19 AI067854NIH HHS R01 OD011095
6 · The paper itself

Abstract

Viral production from infected cells can occur continuously or in a burst that generally kills the cell. For HIV infection, both modes of production have been suggested. Standard viral dynamic models formulated as sets of ordinary differential equations can not distinguish between these two modes of viral production, as the predicted dynamics is identical as long as infected cells produce the same total number of virions over their lifespan. Here we show that in stochastic models of viral infection the two modes of viral production yield different early term dynamics. Further, we analytically determine the probability that infections initiated with any number of virions and infected cells reach extinction, the state when both the population of virions and infected cells vanish, and show this too has different solutions for continuous and burst production. We also compute the distributions of times to establish infection as well as the distribution of times to extinction starting from both a single virion as well as from a single infected cell for both modes of virion production.

Indexed as

Models, BiologicalAnimalsComputational BiologyHIVHIV InfectionsHumansMathematical ConceptsSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency VirusStochastic ProcessesTime FactorsViral LoadVirionVirus DiseasesVirus Replication

Identifiers

PMID21304934
PMCPMC3033366

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.