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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-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 Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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 to...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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 to...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

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Updated: Jun 27, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

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Published on: November 17, 2019

An empirical framework for binary interactome mapping.

Kavitha Venkatesan1, Jean-François Rual, Alexei Vazquez

  • 1Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, 1 Jimmy Fund Way, Boston, MA 02115, USA.

Nature Methods
|December 9, 2008
PubMed
Summary
This summary is machine-generated.

High-throughput yeast two-hybrid (HT-Y2H) methods offer precise human protein-protein interaction data. This study estimates the human interactome contains 130,000 binary interactions, most yet to be mapped.

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Published on: November 17, 2019

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Area of Science:

  • Proteomics
  • Systems Biology
  • Bioinformatics

Background:

  • Systematic mapping of protein-protein interaction (PPI) networks, or interactomes, is crucial for understanding cellular functions.
  • Assessing the quality and coverage of existing human interactome data remains a significant challenge.

Purpose of the Study:

  • To develop a framework for rigorously evaluating the quality parameters of human interactome maps.
  • To compare the precision of different interactome data generation methods.

Main Methods:

  • Development of an empirically-based framework to dissect quality parameters of human interactome data.
  • Comparative analysis of high-throughput yeast two-hybrid (HT-Y2H) and literature-curated PPI data.

Main Results:

  • High-throughput yeast two-hybrid (HT-Y2H) interactions demonstrate higher precision compared to literature-curated interactions based on single publications.
  • The human interactome is estimated to comprise approximately 130,000 binary interactions, with a substantial portion yet to be discovered.

Conclusions:

  • HT-Y2H is a suitable method for mapping a significant fraction of the human interactome.
  • Accurate estimates of interactome size and data quality are essential for guiding future comprehensive mapping efforts.