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

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

860
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
860
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

550
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
550
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

934
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
934
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

722
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,...
722
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

1.9K
The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
1.9K
Virtual Work01:20

Virtual Work

1.6K
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
1.6K

You might also read

Related Articles

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

Sort by
Same author

CellML 2.0.

Journal of integrative bioinformatics·2020
Same author

A Robotic Hand Device Safety Study for People With Cervical Spinal Cord Injury.

Federal practitioner : for the health care professionals of the VA, DoD, and PHS·2019
Same author

Harmonizing semantic annotations for computational models in biology.

Briefings in bioinformatics·2018
Same author

Modular modelling with Physiome standards.

The Journal of physiology·2016
Same author

The CellML Metadata Framework 2.0 Specification.

Journal of integrative bioinformatics·2015
Same author

Culture and detection of primary cilia in endothelial cell models.

Cilia·2015
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Apr 19, 2026

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

8.2K

Distributed model construction with virtual parts.

Michael T Cooling1, Tommy Yu

  • 1Auckland Bioengineering Institute, University of Auckland, Uniservices House, Room 639, 70 Symonds Street, Auckland, New Zealand, m.cooling@auckland.ac.nz.

Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2014
PubMed
Summary
This summary is machine-generated.

Researchers developed three mathematical models for a simple genetic device. These models showcase a collaborative approach to creating reusable components for computational biology, stored in the Physiome Model Repository.

More Related Videos

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.1K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.8K

Related Experiment Videos

Last Updated: Apr 19, 2026

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

8.2K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

4.1K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.8K

Area of Science:

  • Computational Biology
  • Systems Biology
  • Genetic Engineering

Background:

  • Mathematical modeling is crucial for understanding complex biological systems.
  • Developing reusable components accelerates the creation of sophisticated biological models.
  • The Physiome Model Repository facilitates model sharing and collaboration.

Purpose of the Study:

  • To construct three modular mathematical models for a simple genetic device.
  • To demonstrate a collaborative method for creating mathematical models.
  • To showcase the utility of a distributed online repository for model storage and access control.

Main Methods:

  • Development of modular mathematical models.
  • Implementation of a distributed online system for model storage.
  • Application of access control mechanisms for model management.

Main Results:

  • Successfully constructed three distinct mathematical models for a genetic device.
  • Established a collaborative framework for mathematical model development.
  • Stored models in the Physiome Model Repository, enabling distributed access and version control.

Conclusions:

  • Modular mathematical modeling is effective for designing genetic devices.
  • A collaborative online repository enhances the development and accessibility of biological models.
  • Reusable components and distributed systems are key to advancing computational biology.