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Related Concept Videos

Protein Networks02:26

Protein Networks

4.1K
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-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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Related Experiment Video

Updated: Sep 15, 2025

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
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Long-read sequencing to detect full-length protein-protein interactions.

Stephanie Schaefer-Ramadan1,2, Yue Guan1, Ayeda A Ahmed3

  • 1Department of Genetic Medicine, Weill Cornell Medicine in Qatar, Doha, Qatar.

Scientific Reports
|July 17, 2025
PubMed
Summary

This study introduces an improved all-vs.-all sequencing (AVA-Seq) method for detecting full-length protein-protein interactions. This innovative approach offers a low-cost, high-throughput alternative for researchers studying protein function.

Keywords:
Long-read sequencingOxford nanopore technologiesProtein–protein interactionSingle-molecule sequencingTwo-hybrid

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Genomics

Background:

  • Accurate detection of protein-protein interactions is crucial for understanding cellular functions.
  • Existing methods for mapping the interactome face limitations in throughput and the ability to capture full-length interactions.

Purpose of the Study:

  • To enhance the all-vs.-all sequencing (AVA-Seq) method for determining full-length protein-protein interactions.
  • To leverage synthetic DNA technologies and long-read sequencing for improved protein interaction detection.

Main Methods:

  • The study adapted the AVA-Seq method using a convergent fusion plasmid design.
  • Integration of synthetic DNA technologies and Oxford Nanopore Technologies long-read sequencing (MinION platform).
  • Tested 3,115 human protein-protein pairs to identify full-length interactions.

Main Results:

  • Successfully recovered 159 protein-protein interactions from 57 full-length human proteins.
  • Fifteen of the recovered interactions aligned with known human protein interactions.
  • Achieved an 28.6% recovery rate for known interactions from a human gold standard set, consistent with two-hybrid technologies.

Conclusions:

  • The enhanced AVA-Seq method provides a low-cost, high-throughput solution for identifying full-length protein-protein interactions.
  • This method is accessible to research labs at all stages, facilitating interactome studies.
  • Advances in synthetic DNA and long-read sequencing significantly improve protein interaction detection capabilities.