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

Computational methods for yeast prion curing curves.

Martin S Ridout1

  • 1Institute of Mathematics, Statistics and Actuarial Science, University of Kent, Cornwallis Building, Canterbury, Kent CT2 7NF, UK. m.s.ridout@kent.ac.uk

Mathematical Biosciences
|August 30, 2008
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

The power of monitoring: optimizing survey designs to detect occupancy changes in a rare amphibian population.

Scientific reports·2017
Same author

Efficient occupancy model-fitting for extensive citizen-science data.

PloS one·2017
Same author

Computational aspects of N-mixture models.

Biometrics·2014
Same author

The number and transmission of [PSI] prion seeds (Propagons) in the yeast Saccharomyces cerevisiae.

PloS one·2009
Same author

Cell division is essential for elimination of the yeast [PSI+] prion by guanidine hydrochloride.

Proceedings of the National Academy of Sciences of the United States of America·2007
Same journal

The hydra and hormetic effects in a single discrete-time overcompensation model.

Mathematical biosciences·2026
Same journal

Seasonal impacts on brucellosis transmission mediated by live sheep supply-demand dynamics.

Mathematical biosciences·2026
Same journal

Optimal controls and cost-effectiveness analysis on the transmission dynamics of early blight disease in tomatoes.

Mathematical biosciences·2026
Same journal

Temperature-dependent dynamics and allee effect thresholds mediate fourfold cusp stability in biological control of invasive vectors.

Mathematical biosciences·2026
Same journal

Dynamics of a stochastic tumor-immune interaction system with an Ornstein-Uhlenbeck process.

Mathematical biosciences·2026
Same journal

Post-peak dynamics and epidemic overshoot in SIR-type frameworks.

Mathematical biosciences·2026
See all related articles

Guanidine hydrochloride treatment reduces yeast prion (Sup35p) propagation. Numerical Laplace transform inversion efficiently models this prion curing process, proving more effective than direct integration for analyzing yeast prion dynamics.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Yeast Genetics

Background:

  • Yeast prions, such as Sup35p, are self-propagating protein aggregates.
  • The chemical guanidine hydrochloride is known to induce prion loss, or 'curing,' in yeast.
  • Stochastic models exist to describe prion curing dynamics.

Purpose of the Study:

  • To investigate numerical methods for calculating yeast prion curing curves.
  • To compare the efficiency of Laplace transform inversion with direct numerical integration for modeling prion curing.
  • To assess the robustness of prion curing models to variations in cell generation times.

Main Methods:

  • Application of numerical Laplace transform inversion to model prion curing.
  • Comparison with direct numerical integration methods.

Related Experiment Videos

  • Analysis of curing curves under varying cell generation time distributions.

    • Main Results:

    • Laplace transform inversion offers a computationally efficient method for calculating curing curves.
    • This approach facilitates the investigation of diverse prion curing models with reduced programming effort.
    • The study evaluated the stability of curing curves against changes in cell generation time distributions.

    Conclusions:

    • Numerical Laplace transform inversion is a superior computational tool for modeling yeast prion curing.
    • The findings provide insights into the dynamics of prion loss and the factors influencing it.
    • Available Matlab code enables further research into yeast prion behavior and therapeutic strategies.