Search research articles

Related Concept Videos

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Galvanic vestibular stimulation in humans exhibits improvements in vestibular function. However, it is unknown how these effects occur. Here, we describe how to apply sinusoidal and stochastic electrical noise and evaluate appropriate stimulus amplitudes in individual medial vestibular nucleus neurons in the C57BL/6...

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

In this paper, a procedure for quantifying the mass transport parameters of chemicals in various materials is presented. This process involves employing an inverse-analysis based diffusion model to vapor emission profiles recorded by real-time, mass spectrometry in high...

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

The synthesis of asymmetric species of ferrocene is challenging using solution techniques. This report focuses on the methods carried out to produce a ferrocene-biotin bioconjugate using facile and clean reactions accomplished via solid-phase synthesis. Incorporation of a thiolate moiety is shown to impart the ability for immobilization on gold...

Development of automated imaging and analysis for zebrafish chemical screens.

Development of automated imaging and analysis for zebrafish chemical screens.

We report the development of a system for automated imaging and analysis of zebrafish transgenic embryos in multiwell plates. This demonstrates the ability to measure dose dependent effects of a small molecule, BCI, on Fibroblast Growth Factor reporter gene expression and provide technology for establishing high-throughput zebrafish chemical...

Exceptions to the Octet Rule

Exceptions to the Octet Rule

Many covalent molecules have central atoms that do not have eight electrons in their Lewis structures. These molecules fall into three categories:

Lewis Symbols and the Octet Rule

Lewis Symbols and the Octet Rule

Chemical bonds are complex interactions between two or more atoms or ions, which reduce the potential energy of the molecule. Gilbert N. Lewis developed a model called the Lewis model that simplified the depiction of chemical bond formation and provided straightforward explanations for the chemical bonds seen in most common compounds.

You might also read

Related Articles

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

Sort by

Same author

ProQSAR: A modular and reproducible framework for small-data QSAR modeling with fit-and-use models.

Journal of cheminformatics·2026

Same author

SynKit: A Graph-Based Python Framework for Rule-Based Reaction Modeling and Analysis.

Journal of chemical information and modeling·2025

Same author

KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions.

Journal of chemical information and modeling·2025

Same author

Finding Thermodynamically Favorable Pathways in Chemical Reaction Networks Using Flows in Hypergraphs and Mixed-Integer Linear Programming.

Journal of chemical information and modeling·2025

Same author

SynTemp: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases.

Journal of chemical information and modeling·2025

Same author

Pathway Realizability in Chemical Networks.

Journal of computational biology : a journal of computational molecular cell biology·2025

Same journal

PFASGroups: An Open-Source Framework for Automated Identification, Structural Classification, and Prioritization of Per- and Polyfluoroalkyl Substances.

Journal of chemical information and modeling·2026

Same journal

DeepKbhb: Context-Aware Prediction of Human Lysine β-Hydroxybutyrylation Sites.

Journal of chemical information and modeling·2026

Same journal

HyperDC: A Non-Uniform Hypergraph Framework for Dual- and Higher-Order Drug Combination Recommendation Across Diverse Complex Diseases.

Journal of chemical information and modeling·2026

Same journal

Correction to "AstraMEV (AI-Guided Structural Assembly of Multi-Epitope Vaccines) Against Infectious Bronchitis Virus".

Journal of chemical information and modeling·2026

Same journal

MolPy: A Large Language Model-Friendly Toolkit for Reactive Topology Editing in Polymer Simulations.

Journal of chemical information and modeling·2026

Same journal

Molecular Mechanisms of KIT Receptor Dimerization and Oncogenic Activation Revealed by Multiscale Simulations.

Journal of chemical information and modeling·2026

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jan 20, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

A Sensitivity Analysis Methodology for Rule-Based Stochastic Chemical Systems.

Erika M Herrera Machado^1,2, Jakob L Andersen¹, Rolf Fagerberg¹

¹Department of Mathematics and Computer Science, University of Southern Denmark, Odense 5230, Denmark.

Journal of Chemical Information and Modeling

|January 19, 2026

Summary

This summary is machine-generated.

This study presents a new sensitivity analysis method for stochastic chemical systems. It efficiently identifies sensitive parameters and regions by adaptively guiding simulations and visualizing results for broader applicability.

More Related Videos

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

Published on: August 29, 2014

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

Published on: March 12, 2015

Related Experiment Videos

Last Updated: Jan 20, 2026

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

An Inverse Analysis Approach to the Characterization of Chemical Transport in Paints

Published on: August 29, 2014

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

Published on: March 12, 2015

Area of Science:

Computational Chemistry
Chemical Kinetics
Systems Biology

Background:

Stochastic systems in chemistry are common, but analyzing their parameter sensitivity is challenging.
Traditional methods may not fully capture the impact of intrinsic noise on system dynamics.
A robust and flexible sensitivity analysis is needed for complex chemical and biochemical models.

Purpose of the Study:

To develop a novel sensitivity analysis methodology for stochastic chemical systems.
To provide an intuitive and computationally efficient approach for identifying sensitive parameters and regions.
To enable the analysis of diverse, problem-specific output observables.

Main Methods:

Gradient estimation using finite differences and averaging simulation outcomes.
Characterization of gradient uncertainty as an angular range.
Adaptive guidance of simulation numbers based on uncertainty.
Vector field plots for visualizing local sensitivity and computation of global sensitivity coefficients.
Application to Michaelis-Menten kinetics and the formose reaction using MØD software.

Main Results:

The methodology adaptively optimizes computational cost while maintaining robustness.
Identification of sensitive parameters and distinct regions of sensitivity within the parameter space.
Demonstrated broad applicability through successful application to diverse chemical systems.
Intuitive visualization of local sensitivity across parameter space.

Conclusions:

The proposed sensitivity analysis method offers a robust, efficient, and flexible framework for stochastic chemical systems.
It enhances understanding of parameter importance and system behavior across different regions of the parameter space.
The approach is broadly applicable to various chemical and biochemical modeling scenarios, facilitating deeper insights into complex reaction dynamics.