STRING Database ExPASy | Protein-Protein Interactions | Bioinformatics | Basic Science Series

STRING Database of ExPASy | Protein-Protein Interaction Analysis | Bioinformatics | Basic Science Series Keywords: STRING database, ExPASy, protein-protein interactions, bioinformatics tools, protein interaction networks, molecular biology, systems biology, pathway analysis, drug discovery, protein engineering, functional enrichment, protein functions, gene list analysis, protein interaction visualization, confidence scores, experimental data integration, computational predictions, orthologous interactions, biochemical studies, signaling pathways, protein complexes, metabolic pathways, academic research, biological systems, protein analysis

The STRING database, accessible via the ExPASy (Expert Protein Analysis System) server, is a comprehensive resource for the analysis of protein-protein interactions. It provides valuable insights into the functional associations between proteins, which are essential for understanding cellular processes and biological pathways. Here's a detailed overview of the STRING database, its features, and its significance in protein research.

Overview of STRING Database STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) analyzes protein-protein interactions and computes various properties, including:

1. Interaction Networks: Visualizes the network of protein interactions within a cell.
2. Confidence Scores: Provides scores indicating the reliability of predicted interactions.
3. Functional Enrichment: Identifies over-represented functional categories within the interaction network.
4. Sources of Interaction Data: Integrates data from various sources, including experimental data, computational predictions, and publicly available databases.
5. Orthologous Interactions: Predicts interactions based on orthologous proteins in different species.

Applications and Benefits Research and Development:

• Pathway Analysis: Essential for mapping out metabolic and signaling pathways.
• Drug Discovery: Helps identify potential drug targets by analyzing protein interaction networks.
• Systems Biology: Facilitates the understanding of complex biological systems through interaction networks. Academic Research:
• Functional Annotation: Provides insights into the possible functions of newly discovered proteins through their interactions.
• Comparative Studies: Allows comparison of protein interaction networks across different species or conditions.
• Protein Engineering: Guides modifications to proteins to alter their interaction properties. How to Use STRING

1. Input the Protein or Gene List: Users can input a list of proteins or genes to analyze.
2. Run the Analysis: STRING processes the input and provides a detailed interaction network and analysis.
3. Interpret the Results: Researchers can use the output data to draw conclusions about protein functions and interactions. Examples of STRING Usage

• Biochemical Studies: Researchers studying enzyme complexes can use STRING to identify potential interacting partners.
• Molecular Biology: Scientists investigating signaling pathways can utilize the tool to map out interactions between pathway components.
• Genetic Engineering: By analyzing interaction networks, researchers can modify proteins to enhance or disrupt specific interactions.
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