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

Time hierarchy in enzymatic reaction chains resulting from optimality principles.

S Schuster1, R Heinrich

  • 1Humboldt-Universität zu Berlin, Sektion Biologie, G.D.R.

Journal of Theoretical Biology
|November 21, 1987
PubMed
Summary

Enzyme reaction chains evolve based on optimality principles, with kinetic parameters as variables. This study explores unique solutions for linear kinetics, considering factors like osmotic pressure and relaxation times.

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

Frequent high-level rifaximin resistance in <i>Escherichia coli</i> associated with long-term treatment of patients with liver cirrhosis: a prospective, controlled study.

Microbiology spectrum·2025
Same author

Epidemiology and treatment of Adamantiades-Behçet's disease in Germany: A healthcare claims database study.

Journal of the European Academy of Dermatology and Venereology : JEADV·2024
Same author

Age, Blasts, Performance Status and Lenalidomide Therapy Influence the Outcome of Myelodysplastic Syndrome With Isolated Del(5q): A Study of 58 South American Patients.

Clinical lymphoma, myeloma & leukemia·2021
Same author

Invasive populations of Spiraea tomentosa (Rosaceae) are genetically diverse but decline during succession in forest habitats.

Plant biology (Stuttgart, Germany)·2021
Same author

CHIP mutations affect the heat shock response differently in human fibroblasts and iPSC-derived neurons.

Disease models & mechanisms·2020
Same author

[The Federal Joint Committee resolution on staged emergency care and impact on nursing education for emergency care : Cross-sectional survey on the status quo in Germany].

Medizinische Klinik, Intensivmedizin und Notfallmedizin·2020

Area of Science:

  • Biochemistry
  • Systems Biology
  • Enzyme Kinetics

Background:

  • Enzyme reaction chains are fundamental to biological processes.
  • Understanding their evolutionary optimization is crucial for systems biology.
  • Kinetic parameters significantly influence enzyme chain dynamics.

Purpose of the Study:

  • To formulate and analyze optimality principles for enzyme reaction chain evolution.
  • To investigate solutions considering kinetic parameters as variables.
  • To explore criteria such as osmotic pressure, relaxation times, and controllability.

Main Methods:

  • Parametric programming was used to model optimality principles.
  • Analysis focused on linear kinetics and stationary states.
  • Net flux was treated as a fixed parameter.

Related Experiment Videos

Main Results:

  • Optimality principle solutions are not always unique for linear kinetics.
  • Distinct time hierarchies emerge from different optimality criteria.
  • The influence of intermediate concentration constraints was investigated.

Conclusions:

  • Multiple, distinct optimality principles govern enzyme reaction chain evolution.
  • Kinetic parameter variability leads to non-unique evolutionary solutions.
  • Understanding these principles aids in predicting enzyme system behavior.