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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,...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.

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Related Experiment Video

Updated: Jun 29, 2026

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

Concept recognition for extracting protein interaction relations from biomedical text.

William A Baumgartner1, Zhiyong Lu, Helen L Johnson

  • 1Center for Computational Pharmacology, University of Colorado School of Medicine, Aurora, Colorado 80045, USA.

Genome Biology
|October 18, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an integrated approach for concept recognition in biomedical text, linking concepts to knowledge resources. This system aims to aid biologists in extracting and assimilating scientific literature, enhancing information extraction capabilities.

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Area of Science:

  • Biomedical text mining
  • Natural Language Processing

Background:

  • Biomedical literature poses challenges for knowledge assimilation by researchers.
  • Information extraction aims to automate this process, but lacks direct semantic links.
  • Concept recognition offers a solution by connecting text to defined knowledge resources.

Purpose of the Study:

  • To present an integrated approach for concept recognition in biomedical text.
  • To demonstrate the effectiveness of concept recognition in biomedical language processing.
  • To provide tools for benchside biologists to assimilate scientific literature.

Main Methods:

  • Developed a modular protein interaction relation extraction system.
  • Integrated concept recognition to provide semantic links to knowledge resources.
  • Leveraged BioCreative II tasks to evaluate the system's effectiveness.

Main Results:

  • Demonstrated the utility of concept recognition within a protein interaction relation extraction system.
  • Showcased use cases relevant to benchside biologists.
  • Highlighted the system's contribution to improving biomedical information extraction.

Conclusions:

  • Information extraction technologies are nearing a performance level where concept recognition can provide high-quality data.
  • The developed system enhances the ability of biologists to access and understand biomedical knowledge.
  • The system is accessible via the BioCreative Meta-Server and online.