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Related Concept Videos

Protein Networks02:26

Protein Networks

3.7K
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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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Affinity Chromatography01:03

Affinity Chromatography

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Affinity chromatography is a powerful technique extensively utilized for separating and purifying specific biomolecules from complex mixtures. It capitalizes on the highly selective binding between an analyte and its counterpart, such as antibody-antigen interactions. The counterpart is immobilized on the stationary phase, forming an affinity column. The stationary phase typically consists of solid support, such as agarose or porous glass beads, immobilizing the affinity ligand. The mobile...
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Protein Complex Assembly02:41

Protein Complex Assembly

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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
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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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Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
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Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

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A novel protein complex identification algorithm based on Connected Affinity Clique Extension (CACE).

Peng Li, Tingting He, Xiaohua Hu

    IEEE Transactions on Nanobioscience
    |May 8, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new algorithm called Connected Affinity Clique Extension (CACE) effectively finds overlapping functional modules in protein networks. CACE outperforms existing methods like CPM and IPC-MCE in accuracy and efficiency.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Systems Biology

    Background:

    • Protein interaction networks are crucial for understanding cellular functions.
    • Identifying functional modules within these networks is a key challenge in systems biology.
    • Existing algorithms often struggle with overlapping modules and interaction reliability.

    Purpose of the Study:

    • To propose a novel algorithm, Connected Affinity Clique Extension (CACE), for mining overlapping functional modules in protein interaction networks.
    • To improve the accuracy and effectiveness of functional module detection.
    • To leverage protein complex information for inferring interaction reliability.

    Main Methods:

    • Constructed a weighted protein interaction network graph.
    • Defined protein connected affinity as a measure of interaction reliability, inferred from protein complexes.
    • Developed the CACE algorithm utilizing connected affinity coefficients for module detection.

    Main Results:

    • The CACE algorithm demonstrated superior performance in detecting functional modules compared to state-of-the-art algorithms (CPM, IPC-MCE).
    • Experimental results on two test datasets confirmed CACE's effectiveness and accuracy.
    • The approach successfully identified overlapping functional modules.

    Conclusions:

    • CACE provides a more effective and accurate method for identifying overlapping functional modules in protein interaction networks.
    • The concept of protein connected affinity enhances the reliability of interaction data.
    • This algorithm advances the field of network-based biological discovery.