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 Concept Videos

Signal and System01:26

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

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 higher...
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

You might also read

Related Articles

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

Sort by
Same author

Enzyme-Regulated Non-Thermal Fluctuations Enhance Ligand Diffusion and Receptor-Mediated Endocytosis.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Subtle Presentation of Type B Esophageal Atresia.

Cureus·2026
Same author

MYC and AP-1 oncogenes cooperatively bind enhancers to rewire transcription.

NAR cancer·2026
Same author

Modeling tumor transport and growth with poroelastic biopolymer networks.

Soft matter·2026
Same author

Remediation strategies for the struggling resident: technical skills and beyond.

Surgical endoscopy·2026
Same author

Integrative machine learning predicts activating kinase mutations for precision oncology.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: May 22, 2026

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

Structural systems biology and multiscale signaling models.

Shannon E Telesco1, Ravi Radhakrishnan

  • 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Annals of Biomedical Engineering
|April 28, 2012
PubMed
Summary

This review covers advanced computational and experimental methods for structural systems biology. It focuses on quantitative models of molecular signaling networks, from protein interactions to clinical outcomes.

More Related Videos

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System
09:56

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System

Published on: December 23, 2022

Related Experiment Videos

Last Updated: May 22, 2026

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System
09:56

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System

Published on: December 23, 2022

Area of Science:

  • Structural systems biology
  • Computational modeling
  • Molecular and cellular biology

Background:

  • Quantitative models are essential for understanding complex biological systems.
  • Signaling networks involve intricate molecular interactions.
  • Molecular specificity is crucial for accurate biological function.

Purpose of the Study:

  • To review current advances in experimental and computational approaches for structural systems biology.
  • To highlight hybrid and multiscale methods in modeling signaling networks.
  • To showcase applications of quantitative models in cell signaling.

Main Methods:

  • Review of experimental techniques.
  • Analysis of computational modeling and simulation approaches.
  • Focus on hybrid and multiscale methodologies.

Main Results:

  • Emerging experimental and computational methods are enhancing quantitative modeling.
  • Hybrid and multiscale methods offer predictive capabilities for signaling networks.
  • Models range in scope from protein interactions to clinical implications.

Conclusions:

  • Structural systems biology is advancing through integrated experimental and computational strategies.
  • Quantitative models provide predictive insights into cell signaling.
  • These approaches have broad applications, including clinical relevance.