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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Protein Networks02:26

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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.
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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Updated: Nov 19, 2025

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

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Contextualized Protein-Protein Interactions.

Anthony Federico1,2, Stefano Monti1,2

  • 1Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA.

Patterns (New York, N.Y.)
|January 29, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new bioinformatics resource that maps protein-protein interactions (PPIs) to specific cellular contexts, improving disease network analysis. The data mining approach provides context-specific PPIs for better understanding of molecular interactions.

Keywords:
context-relevant PPInetwork biologyprotein-protein interaction

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Mapping Dysfunctional Protein-Protein Interactions in Disease
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Mapping Dysfunctional Protein-Protein Interactions in Disease
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Mapping Dysfunctional Protein-Protein Interactions in Disease

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Existing protein-protein interaction (PPI) databases lack cell-type specificity, presenting interactions as context-agnostic.
  • Protein dynamics and interactions are known to be highly dependent on the cellular environment and context.
  • This limitation hinders the accurate reconstruction and analysis of disease-specific molecular interaction networks.

Purpose of the Study:

  • To develop a novel bioinformatics resource that annotates existing PPI databases with cell-contextual information.
  • To infer disease- and tissue-relevant protein-protein interactions using data mining techniques.
  • To enable the reconstruction and analysis of disease-centric molecular interaction networks.

Main Methods:

  • Data mining of existing literature-curated PPI databases.
  • Extraction of cell-contextual information from reporting studies.
  • Annotation of PPIs with tissue- and disease-specific environmental data.

Main Results:

  • A new resource providing context-specific protein-protein interactions.
  • The resource facilitates the analysis of molecular interactions within specific cellular environments.
  • The method allows for the inference of disease- and tissue-relevant interaction networks.

Conclusions:

  • The developed resource enhances the analysis of protein-protein interactions by incorporating cell-contextual information.
  • This approach improves the reconstruction and study of disease-centric molecular networks.
  • The publicly available data and methods support broader research in the life sciences.