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

Horizontal Curve: Problem Solving01:03

Horizontal Curve: Problem Solving

478
A horizontal curve is characterized by its radius, intersection angle, and stationing of key points. In this case, the radius is 400 meters, and the angle of intersection is 30 degrees, with the station of the point of curvature (P.C.) at 0 + 150 meters. The goal is to determine the station values at the point of intersection (P.I.), point of tangency (P.T.), and midpoint of the curve, as well as the length of the long chord.The process begins with calculating the tangent distance (T) and the...
478
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

86
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
86
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

3.1K
Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
3.1K
Introduction to Horizontal Curves01:19

Introduction to Horizontal Curves

996
Horizontal curves are essential in highway and railroad design, ensuring smooth and safe transitions between straight path segments, or tangents. These curves allow vehicles to maintain speed without abrupt changes, minimizing accidents and improving travel efficiency.A horizontal curve is typically defined by its geometric relationship to two tangents that meet at an intersection point (P.I.), where a simple curve is introduced to connect them. The back tangent refers to the initial tangent...
996
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

697
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,...
697
Transformations of Functions II01:29

Transformations of Functions II

238
Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c,...
238

You might also read

Related Articles

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

Sort by
Same author

In distributive phosphorylation catalytic constants enable non-trivial dynamics.

Journal of mathematical biology·2024
Same author

Dynamics of ERK regulation in the processive limit.

Journal of mathematical biology·2021
Same author

On the existence of Hopf bifurcations in the sequential and distributive double phosphorylation cycle.

Mathematical biosciences and engineering : MBE·2019
Same author

Multistationarity in the Space of Total Concentrations for Systems that Admit a Monomial Parametrization.

Bulletin of mathematical biology·2019
Same author

Emergence of Oscillations in a Mixed-Mechanism Phosphorylation System.

Bulletin of mathematical biology·2019
Same author

Dynamics of Posttranslational Modification Systems: Recent Progress and Future Directions.

Biophysical journal·2018
Same journal

Correction to: A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice.

BMC systems biology·2019
Same journal

Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.

BMC systems biology·2019
Same journal

Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks.

BMC systems biology·2019
Same journal

A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.

BMC systems biology·2019
Same journal

GNE: a deep learning framework for gene network inference by aggregating biological information.

BMC systems biology·2019
Same journal

FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.

BMC systems biology·2019
See all related articles

Related Experiment Video

Updated: Mar 24, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.9K

Challenges in horizontal model integration.

Katrin Kolczyk1, Carsten Conradi2

  • 1Max-Planck-Institute Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106, Magdeburg, Germany.

BMC Systems Biology
|March 13, 2016
PubMed
Summary
This summary is machine-generated.

Integrating biological pathway models is crucial for complex biomedical questions. This study presents a workflow to combine models, addressing challenges in overlap identification and reparameterization for accurate results.

Keywords:
Horizontal model integrationIntegration workflowModel mergingModel reparameterization

More Related Videos

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

Related Experiment Videos

Last Updated: Mar 24, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.9K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

Area of Science:

  • Systems Biology
  • Computational Biology
  • Biomedical Modeling

Background:

  • Dynamic models of intracellular processes (e.g., signal transduction, cell cycle control) are essential in Systems Biology.
  • Answering complex biomedical questions requires integrating isolated pathways, which necessitates reusing established models to reduce effort and increase acceptance.

Purpose of the Study:

  • To present a semi-automatic workflow for integrating multiple biological pathway models.
  • To address challenges in model integration, specifically identifying overlaps and reparameterizing the combined model.

Main Methods:

  • Developed a semi-automatic workflow utilizing established software tools.
  • Focused on two key challenges: identification of model overlap and subsequent reparameterization.
  • Applied the workflow to integrate EGF and NGF signaling pathways from the BioModels Database.

Main Results:

  • Demonstrated a method to overcome challenges in combining large or disparate pathway models.
  • Successfully integrated two signaling pathways (EGF and NGF) using the developed workflow.
  • Highlighted the importance of reparameterization for a combined model to reproduce individual model data.

Conclusions:

  • The presented workflow facilitates the integration of biological pathway models.
  • Reparameterization is a critical step for ensuring the fidelity of integrated models.
  • This approach supports the joint study of interacting signaling pathways for advanced biomedical research.