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

Molecular Kinetic Energy01:21

Molecular Kinetic Energy

5.4K
The word "gas" comes from the Flemish word meaning "chaos," first used to describe vapors by the chemist J. B. van Helmont. Consider a container filled with gas, with a continuous and random motion of molecules. During collisions, the velocity component parallel to the wall is unchanged, and the component perpendicular to the wall reverses direction but does not change in magnitude. If the molecule’s velocity changes in the x-direction, then its momentum is changed.
5.4K
Molecular Models02:00

Molecular Models

42.8K
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.
42.8K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

177
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
177

You might also read

Related Articles

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

Sort by
Same author

Bottlenecks in advancing and applying multiomic data integration-common data resources as rate-limiting drivers-the high-impact use case of atherosclerotic cardiovascular disease.

Briefings in bioinformatics·2025
Same author

Pattern-centric transformation of omics data grounded on discriminative gene associations aids predictive tasks in TCGA while ensuring interpretability.

Biotechnology and bioengineering·2024
Same author

Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches.

Computational and structural biotechnology journal·2023
Same author

Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks.

Frontiers in bioengineering and biotechnology·2023
Same author

Development of prebiotic yogurt with addition of green-banana biomass (Musa spp.).

Anais da Academia Brasileira de Ciencias·2023
Same author

On the challenges of predicting treatment response in Hodgkin's Lymphoma using transcriptomic data.

BMC medical genomics·2023

Related Experiment Video

Updated: Nov 28, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.1K

KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling.

Hugo Mochão1, Pedro Barahona2, Rafael S Costa3,4

  • 1Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa Campus de Caparica, 2829-516, Caparica, Portugal.

Database : the Journal of Biological Databases and Curation
|November 28, 2020
PubMed
Summary

KiMoSys is a public data repository for systems biology, now updated with new features. This enhanced resource improves access to experimental data and kinetic models for the research community.

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

10.9K
Generation of Microtumors Using 3D Human Biogel Culture System and Patient-derived Glioblastoma Cells for Kinomic Profiling and Drug Response Testing
09:24

Generation of Microtumors Using 3D Human Biogel Culture System and Patient-derived Glioblastoma Cells for Kinomic Profiling and Drug Response Testing

Published on: June 9, 2016

9.4K

Related Experiment Videos

Last Updated: Nov 28, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.1K
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

10.9K
Generation of Microtumors Using 3D Human Biogel Culture System and Patient-derived Glioblastoma Cells for Kinomic Profiling and Drug Response Testing
09:24

Generation of Microtumors Using 3D Human Biogel Culture System and Patient-derived Glioblastoma Cells for Kinomic Profiling and Drug Response Testing

Published on: June 9, 2016

9.4K

Area of Science:

  • Systems Biology
  • Metabolic Engineering
  • Biotechnology

Background:

  • KiMoSys is a public repository for experimental data including metabolite concentrations, protein abundances, and flux data.
  • It integrates associated kinetic models and provides tools for constructing Ordinary Differential Equations (ODE)-based models of metabolic networks.

Purpose of the Study:

  • To present an update of the KiMoSys repository with new data and enhanced features.
  • To improve the accessibility and utility of systems biology data and models for researchers.

Main Methods:

  • The update includes an improved web interface, a multi-filter mechanism, and data visualization tools.
  • New features also comprise downloadable machine-readable data, an enhanced data submission tool, and an integrated kinetic model simulation environment.
  • A unique persistent identifier system has been introduced.

Main Results:

  • The updated KiMoSys repository offers improved data accessibility and integration capabilities.
  • New tools and features facilitate data sharing, model construction, and data analysis.

Conclusions:

  • The enhanced KiMoSys version strengthens its role as a valuable resource for the systems biology community.
  • The improvements aim to foster further research and collaboration in the field.