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Related Concept Videos

Protein Networks02:26

Protein Networks

4.7K
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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Protein Networks02:26

Protein Networks

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis.

Yannan Fan1, Keith Siklenka2, Simran K Arora1

  • 1Institute of Parasitology, McGill University, Sainte Anne de Bellevue, Québec H9X 3V9, Canada Centre for Host-Parasite Interactions, McGill University, Sainte Anne de Bellevue, Québec H9X 3V9, Canada.

Nucleic Acids Research
|April 24, 2016
PubMed
Summary

Researchers can now explore microRNA (miRNA) functions and regulatory networks using miRNet, a comprehensive web-based tool. This platform integrates diverse data for statistical analysis and visualization, aiding in understanding complex diseases.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • MicroRNAs (miRNAs) are crucial regulators of biological processes.
  • Dysregulation of miRNAs is linked to complex diseases and pathological conditions.
  • High-throughput technologies generate extensive miRNA-related data, necessitating integrated analysis tools.

Purpose of the Study:

  • To introduce miRNet, a web-based tool for analyzing miRNA functions and regulatory mechanisms.
  • To provide researchers with statistical, visual, and network-based approaches for miRNA data interpretation.
  • To facilitate a deeper understanding of miRNA roles in biological systems and disease.

Main Methods:

  • Integration of high-quality miRNA-target interaction data from 11 databases into a comprehensive knowledge base.
  • Support for differential expression analysis across various data types (microarray, RNA-seq, qPCR).
  • Development of a flexible interface for network creation with customizable data filtering and refinement.
  • Implementation of a powerful network visualization system combined with enrichment analysis.

Main Results:

  • miRNet offers a unified platform for exploring miRNA-target interactions and regulatory networks.
  • The tool supports the analysis of diverse experimental data, enabling comprehensive functional interpretation.
  • Network visualization and enrichment analysis provide insights into miRNA collective functions and mechanisms.

Conclusions:

  • miRNet serves as a valuable, user-friendly resource for researchers studying microRNAs.
  • The platform enhances the statistical analysis and functional interpretation of miRNA data.
  • miRNet facilitates a deeper understanding of miRNA roles in health and disease through integrated network analysis.