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

Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

120
Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
120
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

110
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
110
Molecular Models02:00

Molecular Models

40.4K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
40.4K
Three-Compartment Open Model01:06

Three-Compartment Open Model

428
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
428
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

130
Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
130
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

86
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
86

You might also read

Related Articles

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

Sort by
Same author

Bridging annotated microscopy imaging data and analysis method development for scientific discovery.

Patterns (New York, N.Y.)·2026
Same author

The Potential of Digital Twins for Pediatric Rare Diseases.

CPT: pharmacometrics & systems pharmacology·2026
Same author

From Stem Cells to Post-gastrulation Amnioids (PGAs): A Protocol to Model Human Extra-Embryonic Development.

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

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

NPJ systems biology and applications·2026
Same author

Absence of local retinotopy in the mouse optic tract.

Frontiers in neural circuits·2026
Same author

The 2025 Westlake Autumn Symposium for Al Proteomics and Virtual Cell.

Genomics, proteomics & bioinformatics·2026
Same journal

Computational analysis and validation of UGT1A1/4 missense variants impacting tecovirimat metabolism in monkeypox patients.

Frontiers in systems biology·2026
Same journal

Glioma identification from microRNA biomarkers using machine learning.

Frontiers in systems biology·2026
Same journal

Prioritizing long COVID related single nucleotide polymorphisms by mining genome-wide association studies of COVID-19 susceptibility and hospitalization.

Frontiers in systems biology·2026
Same journal

Multilayer network approaches to omics data integration in digital twins for cancer research.

Frontiers in systems biology·2026
Same journal

Quorum-quenching for bacterial pathogen control and health management in aquaculture: mechanisms, applications, current status and future prospects.

Frontiers in systems biology·2026
Same journal

Multi-OCT-SelfNet: integrating self-supervised learning with multi-source data fusion for enhanced multi-class retinal disease classification.

Frontiers in systems biology·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

3D Printing of Biomolecular Models for Research and Pedagogy
09:17

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

24.2K

BioModels' Model of the Year 2023.

Rahuman S Malik Sheriff1, Hiroki Asari2, Henning Hermjakob1

  • 1European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Cambridge, United Kingdom.

Frontiers in Systems Biology
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

Mathematical modeling advances biological research by providing insights into cell division, protein stability, and cell fate. The BioModels competition highlights early-career researchers promoting reproducible and FAIR data sharing.

Keywords:
BioModelscell cyclecell-to-cell variabilitycompetitionmathematical modelingprotein turnover

More Related Videos

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
08:40

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

Published on: August 7, 2020

6.3K
In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.8K

Related Experiment Videos

Last Updated: Sep 11, 2025

3D Printing of Biomolecular Models for Research and Pedagogy
09:17

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

24.2K
A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
08:40

A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties

Published on: August 7, 2020

6.3K
In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.8K

Area of Science:

  • Computational biology
  • Systems biology
  • Bioinformatics

Background:

  • Mathematical modeling is essential for understanding complex biological systems and their regulatory mechanisms.
  • Such models offer significant advantages for industrial applications and address key biological questions.
  • The BioModels Model of the Year competition was created to acknowledge and promote innovative modeling research in life sciences.

Purpose of the Study:

  • To recognize and showcase outstanding modeling research in life sciences by early-career researchers.
  • To encourage the adoption of reproducibility and FAIR (Findable, Accessible, Interoperable, Reusable) principles in model sharing.
  • To delineate the competition's criteria and present the award recipients and their contributions.

Main Methods:

  • The study outlines the participation and selection criteria for the BioModels Model of the Year 2023 competition.
  • It introduces the researchers who received awards.
  • It provides a summary of the modeling contributions made by the award recipients.

Main Results:

  • The competition successfully highlighted advanced modeling research from early-career scientists.
  • Award recipients presented models offering critical insights into key biological processes.
  • The initiative promoted the principles of reproducibility and FAIR data sharing.

Conclusions:

  • Mathematical modeling is a powerful tool for advancing biological research, offering insights into fundamental processes.
  • The award recipients' work demonstrates significant contributions to understanding cell division, protein stability, and cell fate determination.
  • The BioModels competition effectively fosters reproducibility and FAIR data sharing among emerging researchers in computational biology.