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Related Concept Videos

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,...
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...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Protein Organization01:24

Protein Organization

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.
The primary structure of a protein is its amino acid sequence.

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Computational analysis of human protein interaction networks.

Fidel Ramírez1, Andreas Schlicker, Yassen Assenov

  • 1Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany.

Proteomics
|July 25, 2007
PubMed
Summary

Human protein interaction data from predictions and experiments were compared. Some predicted datasets rival experimental data quality, suggesting combining them can expand the human interactome network.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Systems Biology

Background:

  • Extensive human protein interaction data exists from experimental and computational methods.
  • Experimental coverage of the human interactome remains limited compared to predicted data.
  • Evaluating data sources is crucial for improving methods and validating functional hypotheses.

Purpose of the Study:

  • To assess the quality and biases of publicly available human protein network data.
  • To compare predicted datasets, yeast two-hybrid screens, and literature-curated interactions.
  • To inform strategies for integrating diverse protein interaction datasets.

Main Methods:

  • Functional similarity analysis using Gene Ontology.
  • Assessment of structural domain-domain interactions (iPFam).
  • Evaluation using likelihood ratios and network topological parameters.

Main Results:

  • Significant variations observed among predicted protein interaction datasets.
  • Some predicted datasets demonstrated quality comparable to experimental data across multiple metrics.
  • Low pairwise overlap between most datasets indicates potential for integration.

Conclusions:

  • Combining diverse human protein interaction datasets, including predictions, can effectively expand interactome coverage.
  • Protein interaction prediction reliability increases when supported by multiple prediction methods.
  • Understanding data quality and biases is key for robust interactome network construction.