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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 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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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.
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Updated: Apr 1, 2026

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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Indexing a protein-protein interaction network expedites network alignment.

Md Mahmudul Hasan1, Tamer Kahveci2

  • 1Department of Computer & Information Science and Engineering, University of Florida, Gainesville FL, 32611, USA. mmhasan@cise.ufl.edu.

BMC Bioinformatics
|October 11, 2015
PubMed
Summary

We developed a novel indexing method to speed up network alignment. This approach uses reference networks to efficiently find significant biological network alignments, overcoming previous scalability challenges.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Network Analysis

Background:

  • Network query problem involves aligning small query networks with large target networks.
  • Computational complexity increases exponentially with network size, posing scalability challenges.
  • Efficiently solving large-scale network alignment is crucial for biological network analysis.

Purpose of the Study:

  • To develop a novel indexing structure for accelerating the network query problem.
  • To reduce the computational cost of aligning large biological networks.
  • To ensure the statistical and functional significance of alignment results.

Main Methods:

  • Developed a reference network-based index structure.
  • Stored non-overlapping and statistically significant alignments of reference subnetworks with the target network.
  • Employed a two-round alignment process: query-to-reference then query-to-target, using upper-bound scores.

Main Results:

  • Achieved significant speed-up in running time compared to state-of-the-art methods like ColT.
  • Obtained statistically significant alignment subnetworks.
  • Identified biologically and statistically significant alignments across multiple species using protein-protein interaction networks.

Conclusions:

  • A reference network-based indexing structure effectively accelerates network query.
  • The method produces functionally and statistically significant alignment results.
  • This approach enhances the analysis of large biological networks.