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

Modeling in Therapy01:26

Modeling in Therapy

240
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
240
Molecular Models02:00

Molecular Models

42.6K
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.
42.6K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

241
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...
241
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.2K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.2K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

171
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
171

You might also read

Related Articles

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

Sort by
Same author

IgLON5 autoimmune antibodies activate Tau via neuronal hyperactivity.

Science advances·2026
Same author

Polyphasic characterization of Nocardioides aquaegermanicae sp. nov., a novel water-derived actinobacterium.

PloS one·2026
Same author

metaTraits: a large-scale integration of microbial phenotypic trait information.

Nucleic acids research·2025
Same author

BRENDA in 2026: a Global Core Biodata Resource for functional enzyme and metabolic data within the DSMZ Digital Diversity.

Nucleic acids research·2025
Same author

StrainInfo-the central database for linked microbial strain identifiers.

Database : the journal of biological databases and curation·2025
Same author

Bacterial membrane vesicles of <i>Pseudomonas aeruginosa</i> activate adenosine monophosphate-activated protein kinase signaling through inhibition of mitochondrial complex III.

PNAS nexus·2025
Same journal

Lactate Metabolism Dysregulation Drives the Pathogenesis of Acute Kidney Injury.

Metabolites·2026
Same journal

Librarian: An Open-Access Web Application for High-Resolution Mass Spectral Library Assembly.

Metabolites·2026
Same journal

Purine Metabolism Alterations in Patients with Chronic Heart Failure: A Cross-Sectional Study of Associations with Iron Status, Oxidative Stress, and Anemia.

Metabolites·2026
Same journal

The Gut Microbiome in Heart Failure: Pathways to Inflammation and Therapeutic Targets.

Metabolites·2026
Same journal

Metabolic Mechanisms of Hexavalent Chromium-Induced Splenic Immune Injury via Oxidative Stress and Ferroptosis Pathways in New Zealand Rabbits.

Metabolites·2026
Same journal

Improving Speed and Efficiency of DESI Imaging with the Xevo MRT Mass Spectrometer for Analyte Mapping.

Metabolites·2026
See all related articles

Related Experiment Video

Updated: Nov 15, 2025

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

698

The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases.

Julia Koblitz1,2, Sabine Eva Will1,2, S Alexander Riemer2

  • 1Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Inhoffenstraße 7 B, 38124 Braunschweig, Germany.

Metabolites
|March 6, 2021
PubMed
Summary
This summary is machine-generated.

Metano and the Metano Modeling Toolbox (MMTB) offer new metabolite-centric views for analyzing metabolic models. These tools provide user-friendly interfaces and novel visualizations for metabolic modeling and community analysis.

Keywords:
Phaeobacter inhibensflux balance analysismetabolic modelingsystems biologytropodithietic acid

More Related Videos

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

10.8K
Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

412

Related Experiment Videos

Last Updated: Nov 15, 2025

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging
06:15

Author Spotlight: Introducing the Tile/SED/Array Interface for Rapid Field of View Positioning in Tissue Imaging

Published on: September 15, 2023

698
Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

10.8K
Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

412

Area of Science:

  • Systems Biology
  • Computational Biology
  • Metabolic Engineering

Background:

  • Genome-scale metabolic models are crucial for predicting cellular behavior.
  • Current flux balance analysis (FBA) tools often lack a metabolite-centric perspective.
  • Analyzing metabolic flux distributions is key to understanding cellular functions.

Purpose of the Study:

  • Introduce Metano, a toolbox for metabolic model analysis and refinement.
  • Present the Metano Modeling Toolbox (MMTB), a web-based platform for metabolic modeling.
  • Provide a metabolite-centric view of flux distributions, complementing reaction-centric approaches.

Main Methods:

  • Developed Metano with split-ratio analysis and metabolite flux minimization.
  • Created MMTB, a web-based toolbox with a user-friendly interface for Metano methods.
  • Integrated reaction and enzymatic annotation data for bottom-up model construction.

Main Results:

  • Metano enables novel metabolite-centric analysis of metabolic networks.
  • MMTB offers intuitive access to common modeling methods and visualizations.
  • MMTB facilitates model uploading, sharing, and community-driven analysis.

Conclusions:

  • Metano and MMTB enhance the analysis and construction of genome-scale metabolic models.
  • The tools cater to both experienced and non-experienced users in metabolic modeling.
  • MMTB fosters a collaborative environment for metabolic model exploration and refinement.