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Related Concept Videos

Protein-protein Interfaces02:04

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 polypeptide...
Protein-Protein Interfaces02:04

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 polypeptide...
Protein Networks02:26

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,...
Protein Networks02:26

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,...

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Related Experiment Video

Updated: Jun 2, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

PRIN: a predicted rice interactome network.

Haibin Gu1, Pengcheng Zhu, Yinming Jiao

  • 1Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

BMC Bioinformatics
|May 18, 2011
PubMed
Summary
This summary is machine-generated.

We developed PRIN, a computational approach to predict protein-protein interactions in rice (Oryza sativa). This database provides 76,585 interaction pairs, aiding rice functional genomics and systems biology research.

Related Experiment Videos

Last Updated: Jun 2, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Area of Science:

  • Plant Biology
  • Computational Biology
  • Systems Biology

Background:

  • Protein-protein interactions (PPIs) are crucial for understanding molecular mechanisms in living organisms.
  • Detecting PPIs in plants lags behind model organisms due to technological limitations.
  • A computational approach is needed to accelerate PPI discovery in Oryza sativa.

Purpose of the Study:

  • To develop a computational method for predicting protein-protein interactions in rice (Oryza sativa).
  • To establish the first comprehensive and annotated protein interaction database for Oryza sativa.
  • To facilitate research in rice functional genomics and systems biology.

Main Methods:

  • Utilized interologs from six model organisms (yeast, worm, fruit fly, human, E. coli, Arabidopsis) to predict rice PPIs.
  • Applied quality controls to generate a non-redundant set of rice protein interaction pairs.
  • Integrated Gene Ontology (GO) annotation, subcellular localization, and gene expression data for network validation.

Main Results:

  • Developed PRIN (Predicted Rice Interactome Network), containing 76,585 non-redundant PPIs among 5,049 rice proteins.
  • The predicted rice interactome network topology shows similarities to yeast, with yeast interologs contributing significantly.
  • A user-friendly web interface was created for database searching and network visualization.

Conclusions:

  • PRIN is the first well-annotated protein interaction database for Oryza sativa.
  • This computational approach significantly expands available rice PPI data.
  • PRIN offers valuable insights for rice functional genomics and systems biology research.