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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,...
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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...

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

Published on: December 1, 2020

IMID: integrated molecular interaction database.

Sentil Balaji1, Charles Mcclendon, Rajesh Chowdhary

  • 1Department of Statistics, Florida State University, Tallahassee, FL 32306, USA.

Bioinformatics (Oxford, England)
|January 13, 2012
PubMed
Summary
This summary is machine-generated.

We developed an integrated molecular interaction database (IMID) by combining literature mining and existing databases. IMID offers versatile querying for context-specific molecular interactions, advancing biological research.

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Published on: October 24, 2025

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Molecular interactions are crucial for understanding biological processes and disease mechanisms.
  • Existing databases often lack comprehensive integration of diverse interaction types and related functional information.
  • Manual annotation is time-consuming and may lead to incomplete or biased datasets.

Purpose of the Study:

  • To create an integrated molecular interaction database (IMID) by consolidating information from various sources.
  • To enable comprehensive and context-specific querying of molecular interactions.
  • To facilitate deeper insights into biological mechanisms and disease pathways.

Main Methods:

  • Automatic information extraction from scientific literature.
  • Integration of data from manually curated molecular interaction databases.
  • Incorporation of relationships between proteins/genes and other biological entities (Gene Ontology, pathways, species, diseases).

Main Results:

  • Developed the Integrated Molecular Interaction Database (IMID).
  • Enabled selection of interactions based on associated probabilities.
  • Provided capabilities for complex and versatile queries, addressing limitations of current databases.

Conclusions:

  • IMID offers a novel platform for exploring integrated molecular interaction data.
  • The database enhances the ability to conduct context-specific analyses of molecular interactions.
  • IMID supports advanced research in molecular biology, drug discovery, and systems biology.