Jove
Visualize
Contact Us

Related Concept Videos

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

93
The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
93
Global Regulatory Systems01:28

Global Regulatory Systems

892
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
892
Coupled Reactions01:17

Coupled Reactions

11.2K
Cellular processes such as building and breaking down complex molecules occur through stepwise chemical reactions. Some of these chemical reactions are spontaneous and release energy, whereas others require energy to proceed. Cells often couple the energy-releasing reaction with the energy-requiring one to carry out important cell functions. 
Energy in adenosine triphosphate or ATP molecules is easily accessible to do work. ATP powers the majority of energy-requiring cellular reactions....
11.2K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

702
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
702
Protein Networks02:26

Protein Networks

4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K
Protein Networks02:26

Protein Networks

2.9K
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adhesion and polarity-driven morphogenesis: Mechanisms and constraints in tissue formation.

PLoS computational biology·2026
Same author

Modeling time to visual insight in Mooney image recognition with a chaotic recurrent neural network.

Cognitive neurodynamics·2026
Same author

Enzyme as Maxwell's Demon: Steady-State Deviation from Chemical Equilibrium by Enhanced Enzyme Diffusion.

Physical review letters·2026
Same author

Stability control of metastable states as a unified mechanism for flexible temporal modulation in cognitive processing.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Fluctuation-learning relationship in recurrent neural networks.

Nature communications·2025
Same author

Generalizing the central dogma as a cross-hierarchical principle of biology.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
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 Video

Updated: Apr 1, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

1.1K

From globally coupled maps to complex-systems biology.

Kunihiko Kaneko1

  • 1Research Center for Complex Systems Biology, Graduate School of Arts and Sciences, The University of Tokyo 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan.

Chaos (Woodbury, N.Y.)
|October 3, 2015
PubMed
Summary

Globally coupled maps reveal universal concepts in high-dimensional chaotic dynamics, including clustering and chimera states. These findings offer insights into complex systems and their potential applications in systems biology.

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K

Related Experiment Videos

Last Updated: Apr 1, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

1.1K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K

Area of Science:

  • Complex Systems
  • Dynamical Systems Theory
  • Chaos Theory

Background:

  • Globally coupled maps serve as a fundamental model for studying complex networks of chaotic dynamics.
  • High-dimensional dynamical systems exhibit emergent phenomena not observed in lower dimensions.

Purpose of the Study:

  • To review novel concepts arising from globally coupled maps that are universal in high-dimensional dynamical systems.
  • To discuss the implications of these concepts for complex systems biology.

Main Methods:

  • Review of existing literature on globally coupled maps.
  • Analysis of universal concepts such as clustering, chimera states, and chaotic itinerancy.
  • Theoretical proposal for the degrees of freedom required for high dimensionality.

Main Results:

  • Identification of key universal concepts: clustering of synchronized oscillations, hierarchical clustering, chimera states, partition complexity, Milnor attractors, chaotic itinerancy, and collective chaos.
  • Proposal that high dimensionality is achieved when combinatorial degrees of freedom exceed exponential ones.
  • Highlighting the relevance of these concepts to complex systems biology.

Conclusions:

  • Globally coupled maps provide a rich framework for understanding universal behaviors in high-dimensional chaotic systems.
  • The identified concepts are crucial for analyzing complex phenomena in fields like systems biology.
  • Future research should focus on the application of these findings to biological systems.