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Related Concept Videos

Protein Networks02:26

Protein Networks

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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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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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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
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Optimized Protein-Protein Interaction Network Usage with Context Filtering.

Natalia Pietrosemoli1, Maria Pamela Dobay2,3,4

  • 1Institut Pasteur, Bioinformatics and Biostatistics Hub, C3BI, USR 3756 CNRS, 25-28 Rue du Docteur-Roux 75015, Paris, France.

Methods in Molecular Biology (Clifton, N.J.)
|November 14, 2018
PubMed
Summary
This summary is machine-generated.

Context filtering solutions enable better biological data interpretation from protein-protein interaction networks (PPIs). This approach enhances functional inference by isolating relevant interactions within specific biological contexts.

Keywords:
Context filteringOrthogonal text mining resourcesProtein–protein interaction networks

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Systems Biology

Background:

  • Protein-protein interaction networks (PPIs) map physical and functional relationships between proteins.
  • Current PPI databases use confidence scores, but these lack biological context specificity.
  • Interpreting PPI data requires methods to filter interactions relevant to specific biological conditions.

Purpose of the Study:

  • To develop and present solutions for context-specific filtering of protein-protein interactions.
  • To enable more accurate biological data interpretation and functional inference from PPIs.
  • To apply these solutions to publicly available (HIPPIE, STRING) and proprietary (Ingenuity Pathway Analysis) resources.

Main Methods:

  • Implementation of context filtering algorithms for PPI data.
  • Application of filtering techniques to analyze interactions within specific biological contexts.
  • Evaluation of the effectiveness of context filtering for functional inference.

Main Results:

  • Demonstrated successful context filtering on protein-protein interaction datasets.
  • Showcased improved biological data interpretation through context-specific interaction isolation.
  • Validated the utility of context filtering for enhancing functional inference.

Conclusions:

  • Context filtering is crucial for refining protein-protein interaction data.
  • The developed solutions facilitate more biologically relevant analysis of PPIs.
  • This approach advances the interpretation of complex biological networks and pathways.