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Related Concept Videos

Protein Networks02:26

Protein Networks

4.1K
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,...
4.1K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.8K
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...
13.8K

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Related Experiment Video

Updated: Sep 23, 2025

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
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Expanding interactome analyses beyond model eukaryotes.

Katherine James, Anil Wipat, Simon J Cockell

    Briefings in Functional Genomics
    |May 13, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Computational interactome network analysis is expanding beyond model organisms. This review covers methods for predicting protein-protein interactions in diverse eukaryotes, showcasing applications in non-model species.

    Keywords:
    eukaryotesintegrative bioinformaticsinteractomicsnetwork biologynon-modelssystems biology

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    Area of Science:

    • Bioinformatics
    • Systems Biology
    • Genomics

    Background:

    • Interactome analyses traditionally focused on model organisms with available protein-protein interaction data.
    • Recent advancements enable computational interaction prediction in diverse species using genomic data.

    Purpose of the Study:

    • To review computational interactome network types.
    • To describe their application in diverse eukaryotic species.
    • To highlight key interactome studies in non-model organisms.

    Main Methods:

    • Computational prediction of protein-protein interactions.
    • Construction of interactome networks from genomic and other data.
    • Comparative analysis across eukaryotic species.

    Main Results:

    • Diverse computational interactome network types can be created.
    • These networks are applicable to a wide range of eukaryotic species.
    • Significant interactome studies have been conducted in non-model organisms.

    Conclusions:

    • Computational interactome analysis is a powerful tool for studying diverse eukaryotes.
    • It expands the scope of interactome studies beyond traditional model organisms.
    • This approach facilitates understanding of biological systems in non-model species.