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

Simple data-driven models of intracellular calcium dynamics with predictive power.

Alejandra C Ventura1, Luciana Bruno, Silvina Ponce Dawson

  • 1Departamento de Física, Facultad de Ciencias Exactas y Naturales, U.B.A., Ciudad Universitaria, Pabellón I, (1428) Buenos Aires, Argentina.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 16, 2006
PubMed
Summary

Simple mathematical models can effectively describe complex biological systems like intracellular calcium signals. These models, inferred directly from experimental data, offer quantitative insights without needing unknown parameter values.

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

How decidualization dysregulation reshapes the nanomechanics of endometrial stromal cells.

Molecular human reproduction·2026
Same author

RIVA: An Image Dataset of Conventional Pap Smear Cytology with Multiple Independent Annotations.

Scientific data·2025
Same author

Persistent memory in network topologies following temporary stimuli.

iScience·2025
Same author

Coevolution of cooperative lifestyles and reduced cancer prevalence in mammals.

Science advances·2025
Same author

The advantage of periodic over constant signalling in microRNA-mediated regulation.

Nucleic acids research·2025
Same author

Modeling the use of transient ligand binding information by AMPA receptors.

NPJ systems biology and applications·2025

Area of Science:

  • Systems Biology
  • Biophysics
  • Mathematical Biology

Background:

  • Biological systems exhibit inherent complexity, posing challenges for mathematical modeling.
  • Oversimplified models may not capture biological nuances, while overly complex models often rely on unknown parameters, leading to potential inaccuracies.

Purpose of the Study:

  • To explore the balance between model simplicity and complexity in biological systems.
  • To demonstrate that simple mathematical models can be derived directly from experimental data for biological processes.

Main Methods:

  • Developing simple mathematical models directly from experimental data.
  • Applying the approach to intracellular calcium signal dynamics.
  • Exploring applicability to other reaction-diffusion systems.

Related Experiment Videos

Main Results:

  • Simple models for intracellular calcium dynamics were successfully inferred from experimental data without prior parameter knowledge.
  • These models provide quantitative information on underlying biological processes, such as calcium currents.
  • The approach is extensible to other complex biological systems.

Conclusions:

  • Simple models are sufficient for quantitative descriptions of biological systems.
  • Direct inference from data bypasses the need for unknown parameters in complex biological models.
  • This methodology advances the development of accurate and practical biological models.