Evidence map›Paper›PMID 29592895›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2018

Kinetic Modeling of Virus Growth in Cells.

John Yin, Jacob Redovich

Open access · bronzeAbstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

43 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025
    Article
  6. Systems Virology at Scale.Current opinion in systems biology · 2025
    Article
  7. Article
  8. Article
  9. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Quantification of in vitro replication kinetics of Alagoas vesiculovirus isolates by digital droplet RT-PCR.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  18. Article
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

John YinDepartment of Chemical and Biological Engineering, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA john.yin@wisc.edu.
Jacob RedovichDepartment of Chemical and Biological Engineering, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA.
University of Wisconsin–Madison · USWisconsin Institutes for Discovery · US

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2013 to 2026
$22.5M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Evolution of Virus-Host InteractionsR01AI091646 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2011 to 2015
$2.0M
Data-driven Computational Modeling of the Growth and Spread of VirusesR33AI071197 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2008 to 2010
$1.0M
Microfluidic Viral Infection AssayR41AI077296 · NIAID · BELLBROOK LABS, LLC · PI YIN, JOHN · 2008 to 2009
$598k
Data-driven Computational Modeling of the Growth and Spread of VirusesR21AI071197 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI YIN, JOHN · 2006 to 2007
$290k
NHGRI NIH HHS T32 HG002760NIAID NIH HHS R01 AI091646NIAID NIH HHS R21 AI071197NIAID NIH HHS R33 AI071197NIAID NIH HHS R41 AI077296NIAID NIH HHS U19 AI104317NIGMS NIH HHS T32 GM008349NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

When a virus infects a host cell, it hijacks the biosynthetic capacity of the cell to produce virus progeny, a process that may take less than an hour or more than a week. The overall time required for a virus to reproduce depends collectively on the rates of multiple steps in the infection process, including initial binding of the virus particle to the surface of the cell, virus internalization and release of the viral genome within the cell, decoding of the genome to make viral proteins, replication of the genome, assembly of progeny virus particles, and release of these particles into the extracellular environment. For a large number of virus types, much has been learned about the molecular mechanisms and rates of the various steps. However, in only relatively few cases during the last 50 years has an attempt been made-using mathematical modeling-to account for how the different steps contribute to the overall timing and productivity of the infection cycle in a cell. Here we review the initial case studies, which include studies of the one-step growth behavior of viruses that infect bacteria (Qβ, T7, and M13), human immunodeficiency virus, influenza A virus, poliovirus, vesicular stomatitis virus, baculovirus, hepatitis B and C viruses, and herpes simplex virus. Further, we consider how such models enable one to explore how cellular resources are utilized and how antiviral strategies might be designed to resist escape. Finally, we highlight challenges and opportunities at the frontiers of cell-level modeling of virus infections.

Indexed as

AnimalsDNA VirusesGenome, ViralHost-Pathogen InteractionsHumansKineticsModels, TheoreticalRNA VirusesViral ProteinsVirus DiseasesVirus ReplicationViral Proteinsbacteriophagesbiophysicscomputational biologycomputer modelingDNA virusgrowth modelingkineticsmathematical modelingmolecular biologyRNA virus

Identifiers

PMID29592895
PMCPMC5968458
OpenAlexW2795300196

What OpenQuestion holds

Textmetadata
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.