Search research 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

Related Concept Videos

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

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

Sort by

Same author

Complex Distribution Phenomena and Plastic Binding of Test Chemicals in Cell Culture Experiments: Exemplification by Tebufenpyrad.

International journal of molecular sciences·2026

Same author

Mechanistic investigation of the hepatotoxicity and potential carcinogenicity of microcystin-LR, -LA, and -RR in the HepaRG cell line model.

Archives of toxicology·2026

Same author

Identification of drug repurposing candidates for the treatment of polycystic kidney disease.

British journal of pharmacology·2026

Same author

Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis.

IEEE transactions on visualization and computer graphics·2026

Same author

Systems biology graphical notation: process description language level 1 version 2.1.

Journal of integrative bioinformatics·2026

Same author

Leveraging Consensus Docking Approaches for Human Mitochondrial Complexes I and III.

Chemical research in toxicology·2025

Same journal

OmicsTransformer: Self-Supervised Masked Consistency and Uncertainty-Aware Fusion for Robust Multi-Omics Prediction.

Bioinformatics (Oxford, England)·2026

Same journal

Computational Tool Choice Impacts CRISPR Spacer-Proto spacer Detection.

Bioinformatics (Oxford, England)·2026

Same journal

ARISE: RNA-Anchored Shared-Edge Topology and Hierarchical Fusion for Spatial Multi-Omics Integration.

Bioinformatics (Oxford, England)·2026

Same journal

Interactive exploration of biobank-scale ancestral recombination graphs with Lorax.

Bioinformatics (Oxford, England)·2026

Same journal

PepMCP: A Graph-Based Membrane Contact Probability Predictor for Membrane-Lytic Antimicrobial Peptides.

Bioinformatics (Oxford, England)·2026

Same journal

ARGscape: A modular, interactive tool for manipulation of spatiotemporal ancestral recombination graphs.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 26, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

PathwayNexus: a tool for interactive metabolic data analysis.

Philipp Eberhard¹, Martin Kern¹, Michael Aichem¹

¹Department of Computer and Information Science, University of Konstanz, Konstanz 78464, Germany.

Bioinformatics (Oxford, England)

|May 9, 2024

Summary

This summary is machine-generated.

PathwayNexus simplifies the analysis of large metabolomics datasets by mapping compounds to pathways. This tool helps researchers identify relevant biological pathways from complex omics data.

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

Related Experiment Videos

Last Updated: Jun 26, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

Area of Science:

Biochemistry
Bioinformatics
Systems Biology

Background:

High-throughput omics technologies generate extensive datasets, posing challenges for data analysis.
Metabolomics data, in particular, requires specialized tools for effective interpretation.

Purpose of the Study:

To develop a tool, PathwayNexus, for handling and analyzing large metabolomics datasets.
To facilitate the mapping and investigation of metabolomics data within biological pathways.

Main Methods:

PathwayNexus maps metabolomics data to pathways, presenting results in an interactive matrix format.
The software offers functionalities for ranking, sorting, clustering, and pathway visualization.
It aims to condense large pathway sets into user-specific, relevant subsets.

Main Results:

PathwayNexus enables researchers to observe relationships between compounds and pathways.
The tool aids in identifying key pathways relevant to specific experimental conditions.
It provides analytical tools for deeper investigation of metabolomics data.

Conclusions:

PathwayNexus is an effective open-source tool for the analysis of complex metabolomics data.
The software enhances the ability of researchers to interpret omics data in the context of biological pathways.