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Protein-protein Interfaces

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 Networks

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,...

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The BioGRID Interaction Database: 2011 update.

Chris Stark¹, Bobby-Joe Breitkreutz, Andrew Chatr-Aryamontri

¹Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto M5G 1X5, Canada.

Nucleic Acids Research

|November 13, 2010

Summary

This summary is machine-generated.

The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives genetic and protein interactions from organisms and humans. BioGRID 3.0 offers enhanced search features and downloadable data for biological research.

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Area of Science:

Molecular Biology
Genetics
Bioinformatics

Background:

The Biological General Repository for Interaction Datasets (BioGRID) is a vital public resource for genetic and protein interaction data.
It curates data from model organisms and humans, covering a vast number of interactions from extensive literature.
Maintaining comprehensive interaction data is crucial for understanding complex biological systems.

Purpose of the Study:

To present BioGRID 3.0, detailing its expanded data collection and enhanced features.
To highlight the ongoing efforts in curating interaction data across various species, with a focus on human health.
To provide a freely accessible and downloadable resource for the scientific community.

Main Methods:

Systematic curation of genetic and protein interaction data from peer-reviewed publications.
Development of an automated Interaction Management System (IMS) for efficient curation tracking.
Implementation of new search and display functionalities in the BioGRID 3.0 web interface.

Main Results:

BioGRID 3.0 contains 347,966 interactions (170,162 genetic, 177,804 protein) from over 23,000 publications.
Complete literature coverage for budding yeast, fission yeast, and Arabidopsis thaliana is achieved.
48,831 human protein interactions are curated, with ongoing expansion into metazoan species.

Conclusions:

BioGRID 3.0 provides a comprehensive and accessible platform for interaction data.
The database facilitates insights into conserved biological networks and pathways relevant to human health.
The freely available data and source code support broad scientific research and collaboration.