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,...

Quantitative Aspects of Drug-Receptor Interaction

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...

Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...

You might also read

Related Articles

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

Sort by

Same author

Emergence of isochorismate-based salicylic acid biosynthesis within Brassicales.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

An averaging model for analysis and interpretation of high-order genetic interactions.

PloS one·2024

Same author

Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max).

BMC plant biology·2024

Same author

Decomposition of dynamic transcriptomic responses during effector-triggered immunity reveals conserved responses in two distinct plant cell populations.

Plant communications·2024

Same author

Pathogen-driven coevolution across the CBP60 plant immune regulator subfamilies confers resilience on the regulator module.

The New phytologist·2021

Same author

Letter to the Editor: DNA Purification-Free PCR from Plant Tissues.

Plant & cell physiology·2021

Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

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

Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

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

Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

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

Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

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

Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

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

Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

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

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 7, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Network Reconstitution for Quantitative Subnetwork Interaction Analysis.

Fumiaki Katagiri¹

¹Department of Plant and Microbial Biology, Microbial and Plant Genomics Institute, University of Minnesota, 1500 Gortner Ave, St. Paul, MN, 55108, USA. katagiri@umn.edu.

Methods in Molecular Biology (Clifton, N.J.)

|February 22, 2017

Summary

This summary is machine-generated.

Network reconstitution quantifies biological system components and interactions. This method analyzes organism genotypes and phenotypes to estimate individual subnetwork contributions and their combined effects.

Keywords:

Combinatorial genotypes Network reconstitution Quantitative phenotype Signaling allocation Subnetwork interactions

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

Related Experiment Videos

Last Updated: Mar 7, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

Area of Science:

Systems biology
Genetics
Bioinformatics

Background:

Quantifying the roles of individual components and their interactions is crucial in systems biology.
Understanding complex biological systems requires dissecting their constituent parts and interconnections.

Purpose of the Study:

To introduce a novel concept and tool, network reconstitution, for quantifying subnetwork contributions and interactions.
To provide a method for dissecting complex biological networks.

Main Methods:

Network reconstitution involves creating and phenotyping all possible genotype combinations of relevant subnetworks.
Quantitative phenotype data is collected for these combined genotypes.
An R script is utilized for analyzing the phenotype data.

Main Results:

The analysis yields estimates for the contributions of single subnetworks.
The method allows for the estimation of interactions between subnetworks.
This approach provides a quantitative framework for understanding network components.

Conclusions:

Network reconstitution offers a powerful approach to quantifying contributions and interactions within biological systems.
This method facilitates a deeper understanding of the structure and function of biological networks.