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

A hybrid approach for efficient and robust parameter estimation in biochemical pathways.

Maria Rodriguez-Fernandez1, Pedro Mendes, Julio R Banga

  • 1Process Engineering Group, IIM-CSIC, Spanish Council for Scientific Research, C/Eduardo Cabello 6, 36208 Vigo, Spain.

Bio Systems
|October 21, 2005
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

Systems biology during 20 years of PLoS Computational Biology.

PLoS computational biology·2026
Same author

CAROTID BODY CHEMORECEPTORS: FROM MOUNTAIN TO SPACE.

Physiology (Bethesda, Md.)·2026
Same author

CuiT is a Cu importer required for metal homeostasis in <i>Salmonella enterica</i>.

Biochemistry and biophysics reports·2026
Same author

From FAIR to CURE: guidelines for computational models of biological systems.

NPJ systems biology and applications·2026
Same author

Nutrition as a missing piece in the development of youth male soccer players: a scoping review and future directions.

Biology of sport·2026
Same author

CuiT is a Cu importer required for metal homeostasis in Salmonella enterica.

bioRxiv : the preprint server for biology·2026

This study introduces an improved optimization method for biochemical pathway models, significantly reducing computation time and enhancing accuracy for predictive medicine applications.

Area of Science:

  • Systems Biology
  • Biochemical Pathway Modeling
  • Computational Biology

Background:

  • Dynamic models of biochemical pathways are crucial for Systems Biology and predictive medicine.
  • Parameter estimation in these models is a critical and challenging inverse problem.
  • Previous methods, like Evolution Strategies (ES), were effective but computationally expensive.

Purpose of the Study:

  • To present a novel, integrated optimization methodology for biochemical pathway models.
  • To improve computational efficiency and robustness in parameter estimation.
  • To enhance the practical application of dynamic models in medicine.

Main Methods:

  • A hybrid optimization method to reduce computation time by an order of magnitude.
  • Integration of automatic local and practical model identifiability testing.

Related Experiment Videos

  • Evaluation of experimental information content using the Fisher information matrix.
  • Dynamic optimization for the design of new, optimal experiments.

    • Main Results:

    • Computation time reduced by one order of magnitude through a hybrid approach.
    • Successful handling of measurement noise and partial observations.
    • Inclusion of automatic identifiability testing for model validation.
    • Demonstrated application in designing more informative experiments.

    Conclusions:

    • The new integrated methodology offers a more efficient and robust solution for parameter estimation in dynamic biochemical models.
    • This advancement facilitates the development of more reliable predictive models for applications in medicine.
    • The approach addresses key challenges including computational cost, data quality, and experimental design.