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

Deriving shape space parameters from immunological data

D J Smith1, S Forrest, R R Hightower

  • 1Department of Computer Science, University of New Mexico, Albuquerque, NM, 87131, USA.

Journal of Theoretical Biology
|February 28, 1998
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

Hepatitis C virus dynamics and cellular gene expression in uPA-SCID chimeric mice with humanized livers during intravenous silibinin monotherapy.

Journal of viral hepatitis·2016
Same author

Viral dynamic modelling of Hepatitis C and resistance-associated variants in haemophiliacs.

Haemophilia : the official journal of the World Federation of Hemophilia·2016
Same author

A perspective on modelling hepatitis C virus infection.

Journal of viral hepatitis·2010
Same author

Modelling hepatitis C virus kinetics during treatment with pegylated interferon alpha-2b: errors in the estimation of viral kinetic parameters.

Journal of viral hepatitis·2008
Same author

Modelling the kinetics of hepatitis C virus RNA decline over 4 weeks of treatment with pegylated interferon alpha-2b.

Journal of viral hepatitis·2008
Same author

Th1/Th2 differentiation and cross-regulation.

Bulletin of mathematical biology·2007
Same journal

Evolution of quantitative traits: exploring the ecological, social and genetic bases of adaptive polymorphism.

Journal of theoretical biology·2026
Same journal

The male-biased sex ratio in humans and its role in the transition from promiscuity to pair bonding.

Journal of theoretical biology·2026
Same journal

Quantifying the counter-intuitive effects of vaccination by coupling the transmission dynamics of COVID-19 and the evolution of human behaviors.

Journal of theoretical biology·2026
Same journal

An integrative model of FGF2-induced signaling and muscle cell proliferation.

Journal of theoretical biology·2026
Same journal

A hybrid reaction-diffusion and mechanical stimulus model for mandibular bone remodeling under chewing and vibratory loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
See all related articles

This study introduces a method to determine shape space parameters for immunological memory. The findings suggest specific dimensions and radii for Hamming and Euclidean shape spaces that align with experimental cross-reactive memory data.

Area of Science:

  • Immunology
  • Computational Biology
  • Theoretical Biology

Background:

  • Cross-reactive memory responses are crucial for secondary infections by related pathogens.
  • The quantity and distribution of memory B cells determine the extent of cross-reactivity.
  • B cell affinity for antigens defines a 'ball of stimulation' in shape space.

Purpose of the Study:

  • To develop a method for deriving shape space parameters consistent with immunological data.
  • To model cross-reactive memory responses using shape space analysis.
  • To identify optimal shape space parameters that match experimental observations.

Main Methods:

  • Derivation of formulas for the volume of intersection of 'balls of stimulation' in various shape spaces.
  • Analysis of how shape space dimensionality and alphabet size influence B cell distribution.

Related Experiment Videos

  • Application of the method to find parameters for Hamming and Euclidean shape spaces.
  • Main Results:

    • Shape space parameters significantly impact the number of cross-reactive B cells.
    • For Hamming shape spaces, 20-25 dimensions, a 3-4 letter alphabet, and radii of 5-6 match data.
    • For Euclidean shape spaces, 5-8 dimensions and radii of ~20% of the total space radius align with experiments.

    Conclusions:

    • The proposed method effectively derives shape space parameters from immunological data.
    • Specific parameter choices for Hamming and Euclidean shape spaces are identified, providing a framework for understanding cross-reactivity.
    • This work offers a quantitative approach to studying immune memory and B cell responses.