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Updated: Jul 18, 2026
08:38
Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
Published on: March 3, 2015
STRING 7--recent developments in the integration and prediction of protein interactions.
Christian von Mering1, Lars J Jensen, Michael Kuhn
1European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. mering@molbio.unizh.ch
Nucleic Acids Research
|November 14, 2006
Summary
The STRING database integrates known and predicted protein-protein interactions across many organisms, enabling broader biological research. This resource facilitates comparative genomics, phylogenetics, and network studies with enhanced features and data accessibility.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Protein-protein interaction (PPI) data is primarily limited to model organisms and diverse experimental/computational sources.
- A unified approach is needed to generalize access to and analysis of PPI information.
Purpose of the Study:
- To present the STRING database and online resource, which integrates and generalizes access to protein interaction data.
- To highlight the expanded capabilities and features of STRING release 7.
Main Methods:
- Integration of known and predicted protein interactions from multiple sources.
- Utilizing sequenced genomes and orthology classifications for cross-organism evidence transfer.
- Development of programmatic access and compact download files for data utilization.
Main Results:
- STRING release 7 covers 373 organisms and over 1.5 million proteins with pre-computed associations.
- Incorporation of AJAX-based navigation, BioGRID data, and detailed protein domain annotation.
- Successful application of the resource in comparative genomics, phylogenetics, and network studies.
Conclusions:
- STRING provides a comprehensive and accessible platform for protein interaction analysis and related biological studies.
- The resource's expansion and novel features enhance its utility for the scientific community.
- Programmatic access and data downloads facilitate diverse research applications beyond PPI analysis.
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