Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Intracellular signaling: spatial and temporal control.

Ion I Moraru¹, Leslie M Loew

¹Center for Cell Analysis and Modeling, Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT, USA. moraru@panda.uchc.edu

Physiology (Bethesda, Md.)

|May 13, 2005

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

Multimodal optical imaging combining voltage-sensitive dye ElectroFluor630 with genetically encoded calcium, glutamate, or voltage indicators.

Neurophotonics·2026

Same author

Mesoscale simulations of membrane-tethered reactions to parameterize cell-scale models of signaling.

Biophysical journal·2026

Same author

NMRhub: An NMR Data Ecosystem Spanning the Complete Data Lifecycle.

Journal of molecular biology·2026

Same author

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

NPJ systems biology and applications·2026

Same author

Systems-level consequences of low RAF abundance for EGFR-ERK signaling.

Biophysical journal·2026

Same author

Scalable cyberinfrastructure for experimental NMR data.

Scientific data·2025

Same journal

Evolution of Adaptive Non-Shivering Thermogenesis in Mammals.

Physiology (Bethesda, Md.)·2026

Same journal

The Iron Lung: Ferroptosis and Iron Regulation in Aging and Lung Diseases.

Physiology (Bethesda, Md.)·2026

Same journal

RNA-Protein complexes and their role in cell fate.

Physiology (Bethesda, Md.)·2026

Same journal

Ion Channels as Gatekeepers of Fertility: From Uterine Kir7.1 to Sperm CatSper.

Physiology (Bethesda, Md.)·2026

Same journal

Is insulin resistance an adaptive response? Clues from nature.

Physiology (Bethesda, Md.)·2026

Same journal

Physiology in Perspective.

Physiology (Bethesda, Md.)·2026

See all related articles

Cellular signaling pathways are complex. Computer simulations offer a powerful method to understand and predict cell behavior, especially with new tools and data available for quantitative modeling.

Area of Science:

Cellular and Molecular Biology
Systems Biology
Computational Biology

Background:

Cells integrate numerous inputs via complex signaling pathways.
Understanding cellular behavior requires dissecting these intricate networks.
Traditional reductionist approaches face limitations in complex systems.

Purpose of the Study:

To highlight the necessity and timeliness of computational modeling in cell biology.
To advocate for systems and simulation approaches to understand cellular complexity.
To emphasize the readiness of cell physiology for quantitative modeling.

Main Methods:

Utilizing systems approaches to analyze cellular networks.
Employing computer-aided reductionist methods to untangle signaling pathways.

Related Experiment Videos

Leveraging new tools for probing unknown molecular interactions.

Main Results:

Cellular physiology has reached a stage where quantitative modeling is feasible.
Sufficient detailed information is available to describe many functional modules.
New tools enable the investigation of large sets of unknown interactions.

Conclusions:

Computer simulations are essential for predicting the behavior of complex biological systems.
The current state of knowledge and technology makes computational modeling the optimal approach.
It is now the opportune time to initiate comprehensive modeling of cell physiology.