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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...
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...

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Related Experiment Video

Updated: Jul 3, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Can bibliographic pointers for known biological data be found automatically? Protein interactions as a case study.

C Blaschke1, A Valencia

  • 1Protein Design Group, National Centre for Biotechnology, CNB-CSIC, Cantoblanco, Madrid E-28049, Spain.

Comparative and Functional Genomics
|July 17, 2008
PubMed
Summary

Information extraction systems show limited success in automatically identifying known protein interactions from Medline abstracts. Challenges include abstract limitations and non-standard protein names, not the extraction methodology itself.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Information Retrieval

Background:

  • The Dictionary of Interacting Proteins (DIP) database contains experimentally verified protein interactions.
  • The March 2000 DIP release included 851 protein interactions detected by direct biochemical methods.

Purpose of the Study:

  • To assess the effectiveness of information retrieval (IR) technology in automatically identifying supporting sentences for known protein interactions within Medline abstracts.
  • To evaluate the limitations and potential of IR for biological data extraction.

Main Methods:

  • Utilized information retrieval techniques to search Medline abstracts for sentences supporting 851 DIP protein interactions.
  • Analyzed the correspondence between DIP protein pairs and sentences describing their interactions in abstracts.

Main Results:

  • Only 30% of DIP protein pairs had supporting interaction sentences found in Medline abstracts.
  • Information extraction systems demonstrated high precision in identifying novel protein relationships.
  • Abstract limitations and lack of standardized protein names were identified as major challenges.

Conclusions:

  • Current information extraction methods face significant limitations when applied to abstracts for identifying known protein interactions.
  • The DIP dataset serves as a valuable benchmark for evaluating information extraction systems in molecular biology.
  • Despite limitations, IR shows promise for discovering new protein interactions.