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Related Experiment Video

Updated: May 11, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

Protein complex detection using interaction reliability assessment and weighted clustering coefficient.

Nazar Zaki1, Dmitry Efimov, Jose Berengueres

  • 1Intelligent Systems, College of Information Technology, UAEU, Al Ain, UAE. nzaki@uaeu.ac.ae

BMC Bioinformatics
|May 22, 2013
PubMed
Summary
This summary is machine-generated.

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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 polypeptide...
Protein Complexes with Interchangeable Parts01:57

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This study introduces PEWCC, a new graph mining algorithm for accurately predicting protein complexes from interaction data. PEWCC improves upon existing methods by first validating interactions, leading to more reliable complex identification.

Area of Science:

  • Computational biology
  • Bioinformatics
  • Systems biology

Background:

  • Protein complex prediction is vital for understanding cellular mechanisms.
  • High-throughput experiments generate large protein-protein interaction datasets.
  • Experimental data often contains spurious interactions requiring validation.

Purpose of the Study:

  • To develop a novel algorithm for reliable protein complex prediction.
  • To address the challenge of spurious interactions in protein-protein interaction data.

Main Methods:

  • Proposed a graph mining algorithm named PEWCC.
  • Incorporated interaction data reliability assessment.
  • Utilized the weighted clustering coefficient for complex prediction.

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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

Published on: November 12, 2012

Protein Complex Affinity Capture from Cryomilled Mammalian Cells
10:37

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Published on: December 9, 2016

Related Experiment Videos

Last Updated: May 11, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
14:58

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

Published on: November 12, 2012

Protein Complex Affinity Capture from Cryomilled Mammalian Cells
10:37

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Published on: December 9, 2016

Main Results:

  • PEWCC demonstrated superior performance in detecting protein complexes.
  • The algorithm achieved higher quality scores compared to existing methods.
  • Identified more biologically relevant complexes than state-of-the-art approaches.

Conclusions:

  • PEWCC offers higher accuracy for protein complex detection.
  • The method provides a robust approach for analyzing protein interaction networks.
  • Associated datasets and software are publicly available for research use.