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

Epistasis Analysis

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

Ligand Binding Sites

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

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...

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

TROP2 targeting reveals therapy-driven cell state dynamics in colorectal cancer.

Nature·2026

Same author

From knowledge graph to topological data analysis: a novel framework to analyze gene regulatory networks for tomato-multi-pathogen interactions.

The New phytologist·2026

Same author

ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.

Molecular systems biology·2026

Same author

A pragmatist approach to bridging tables and ontologies through LinkML and punning.

Journal of biomedical semantics·2026

Same author

TabularQual: A spreadsheet-based format for annotating and curating logical models in SBML-qual.

bioRxiv : the preprint server for biology·2026

Same author

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke·2026

Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026

Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026

Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026

Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026

Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 15, 2025

Author Spotlight: Enhanced Isolation of Interaction-Null Mutants in Yeast

Author Spotlight: Enhanced Isolation of Interaction-Null Mutants in Yeast

Published on: December 29, 2023

The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST).

Vasundra Touré¹, Steven Vercruysse¹, Marcio Luis Acencio²

¹Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway.

Bioinformatics (Oxford, England)

|July 9, 2020

Summary

This summary is machine-generated.

We introduce MI2CAST, a checklist for describing molecular interactions. It ensures consistent annotation of causal statements for better data sharing and computational analysis in systems biology.

More Related Videos

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

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

Related Experiment Videos

Last Updated: Dec 15, 2025

Author Spotlight: Enhanced Isolation of Interaction-Null Mutants in Yeast

Author Spotlight: Enhanced Isolation of Interaction-Null Mutants in Yeast

Published on: December 29, 2023

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

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Author Spotlight: Evaluation of Protein-Condensate Dynamics in Live Human Cells

Published on: January 5, 2024

Area of Science:

Molecular biology
Systems biology
Bioinformatics

Background:

Cells utilize diverse molecular interactions for regulation.
Causal interactions are fundamental to cellular regulatory networks.
Standardized descriptions are crucial for data archiving, sharing, and computational processing.

Purpose of the Study:

To propose a standardized checklist for molecular interaction causal statements.
To accommodate existing data representations and foster interoperability.

Main Methods:

Development of the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST) checklist.
Defining core and contextual information for causal statements.

Main Results:

The MI2CAST checklist provides reporting guidelines for annotating causal statements.
It promotes uniformity and reusability of molecular interaction data.
The checklist is available with examples online.

Conclusions:

MI2CAST enhances the description and management of causal molecular interactions.
It facilitates data integration and computational analysis across different resources.