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Related Concept Videos

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-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 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 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 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...

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Related Experiment Video

Updated: May 22, 2026

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Hash subgraph pairwise kernel for protein-protein interaction extraction.

Yijia Zhang1, Hongfei Lin, Zhihao Yang

  • 1Dalian University of Technology, Dalian, China. zhyj@dlut.edu.cn

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|May 19, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hash subgraph pairwise (HSP) kernel for extracting protein-protein interactions (PPIs) from text. The HSP kernel significantly improves performance, achieving state-of-the-art results on multiple datasets.

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Related Experiment Videos

Last Updated: May 22, 2026

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Immunoprecipitation with an Anti-Epitope Tag Affinity Gel to Study Protein-Protein Interactions
07:16

Immunoprecipitation with an Anti-Epitope Tag Affinity Gel to Study Protein-Protein Interactions

Published on: January 5, 2024

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Published on: March 3, 2015

Area of Science:

  • Biomedical text mining
  • Bioinformatics
  • Natural Language Processing

Background:

  • Extracting protein-protein interactions (PPIs) from biomedical literature is crucial for understanding cellular mechanisms.
  • Existing methods may not fully leverage the structural information within sentences.

Purpose of the Study:

  • To develop a novel graph kernel-based approach for enhancing protein-protein interaction extraction.
  • To improve the efficiency and accuracy of identifying PPIs from scientific text.

Main Methods:

  • Proposed a hash subgraph pairwise (HSP) kernel utilizing hierarchical hash labels to represent subgraph structural information.
  • Applied the graph kernel to dependency graphs of sentences for PPI extraction.
  • Evaluated the approach on five publicly available PPI corpora.

Main Results:

  • The HSP kernel efficiently captures contiguous topological and label information previously overlooked.
  • The proposed approach significantly outperformed the all-path kernel method across all five corpora.
  • Achieved state-of-the-art performance in protein-protein interaction extraction.

Conclusions:

  • The HSP kernel is an effective method for extracting protein-protein interactions from biomedical literature.
  • This approach offers a significant advancement in the field of biomedical text mining.