Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimal viral production.

Daniel Coombs1, Michael A Gilchrist, Jerome Percus

  • 1Theoretical Biology and Biophysics Group, Theoretical Division, MS K710, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. coombs@lanl.gov

Bulletin of Mathematical Biology
|November 11, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Modeling quantifies in vivo neutralization, Fc-mediated killing, and resistance in human clinical trials of five anti-HIV broadly neutralizing antibodies.

bioRxiv : the preprint server for biology·2026
Same author

Towards modeling phage therapy.

PLoS computational biology·2026
Same author

INHERITANCE OF INTRACELLULAR VIRAL RNA IN A MULTISCALE MODEL OF HEPATITIS C INFECTION.

SIAM journal on applied mathematics·2026
Same author

AZD5582 robustly reactivates latently infected cells and clears the majority of those reactivated from the SIV reservoir.

bioRxiv : the preprint server for biology·2026
Same author

Mathematical modelling highlights the crucial role of early childhood immunization in preventing congenital CMV in countries with high CMV seroprevalence.

Vaccine·2026
Same author

The importance of nonsense errors: Estimating the rates and implications of ribosome drop-off during protein synthesis.

PLoS genetics·2026
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
Same journal

Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.

Bulletin of mathematical biology·2026
See all related articles

Viruses face a trade-off between replication speed and host cell survival. Optimal viral fitness may involve balancing rapid reproduction with avoiding premature host cell death to maximize progeny production.

Area of Science:

  • Virology
  • Evolutionary Biology
  • Mathematical Biology

Background:

  • Viruses replicate within host cells, with fitness linked to progeny number.
  • High viral production rates can accelerate host cell death, impacting viral yield.
  • Natural selection typically favors traits that maximize reproductive success.

Purpose of the Study:

  • To investigate the optimal replication rate for viruses to maximize progeny production.
  • To explore the relationship between viral production rate and host cell death rate.
  • To develop a mathematical framework for analyzing viral replication strategies.

Main Methods:

  • Mathematical modeling of host-parasite dynamics.
  • Analysis of viral production scheduling.

Related Experiment Videos

  • Simulation of viral replication under varying host cell death rates.

    • Main Results:

    • Viral replication rate that maximizes progeny is not always the maximum possible rate.
    • Increased viral production can lead to increased host cell death, reducing overall viral yield.
    • A trade-off exists between rapid replication and maximizing long-term progeny production.

    Conclusions:

    • Optimal viral replication strategy balances progeny output with host lifespan.
    • Mathematical frameworks can elucidate evolutionary strategies in virus-host interactions.
    • Understanding these dynamics is crucial for predicting viral evolution and disease progression.