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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 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,...
Phosphoinositides and PIPs01:42

Phosphoinositides and PIPs

Phosphoinositides are a group of phospholipids containing a glycerol backbone with two fatty acid chains and a phosphate attached to a myoinositol sugar ring. The inositol head group extends into the cytoplasm, where it is modified by adding phosphate groups to form phosphatidylinositol phosphates or PIPs.
Different phosphoinositides are synthesized and recruited on the cytosolic face of the plasma membrane. The localization of specific phosphoinositides concentrated in separate membrane...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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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Updated: May 12, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

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Published on: November 14, 2017

Structure discovery in PPI networks using pattern-based network decomposition.

Philip Bachman1, Ying Liu

  • 1Department of Computer Science and Department of Molecular Biology, University of Texas at Dallas, Richardson, TX 75083-0688, USA.

Bioinformatics (Oxford, England)
|May 19, 2009
PubMed
Summary

We developed an efficient algorithm for analyzing protein-protein interaction networks at the meso-scale. This method reveals hierarchical modularity in biological systems, offering new insights into complex cellular structures.

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Area of Science:

  • Systems Biology
  • Network Science
  • Bioinformatics

Background:

  • Protein-protein interaction (PPI) networks are crucial for understanding biological systems.
  • Previous analyses focused on large-scale or local network properties, neglecting the meso-scale.
  • Meso-scale analysis of PPI networks is computationally challenging but may reveal key relationships.

Purpose of the Study:

  • To develop an efficient algorithm for meso-scale analysis of biological networks.
  • To investigate the structural organization of the Saccharomyces cerevisiae PPI network at the meso-scale.

Main Methods:

  • Developed an efficient algorithm for sub-graph isomorphism queries in networks.
  • Applied topological search to analyze PPI network structure at the meso-scale.
  • Compared computational efficiency against existing methods.

Main Results:

  • The novel algorithm demonstrates significant computational advantages over previous approaches.
  • Meso-scale analysis revealed the presence of hierarchical modularity in the yeast PPI network.
  • The findings support a multi-scale organizational principle in biological networks.

Conclusions:

  • Efficient meso-scale network analysis is feasible and provides valuable biological insights.
  • Hierarchical modularity is a significant feature of the Saccharomyces cerevisiae PPI network.
  • This approach opens new avenues for exploring complex biological system organization.