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Protein Networks02:26

Protein Networks

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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.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
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CompNet: a GUI based tool for comparison of multiple biological interaction networks.

Bhusan K Kuntal1, Anirban Dutta1, Sharmila S Mande2

  • 1Bio-Sciences R&D Division, TCS Research, Tata Consultancy Services Ltd., 54-B, Hadapsar Industrial Estate, Pune, 411 013, Maharashtra, India.

BMC Bioinformatics
|April 27, 2016
PubMed
Summary

CompNet is a new tool for visually comparing multiple biological networks. It helps identify key components and understand system behavior changes under different conditions, aiding in biological data mining.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Understanding complex biological systems requires effective network visualization and analysis.
  • Comparing multiple networks is crucial for identifying key components and system behavior under varying conditions.
  • Existing network comparison methods often lack interactive visual features for multiple networks.

Purpose of the Study:

  • To introduce CompNet, a novel graphical user interface (GUI) tool for the visual comparison of multiple biological networks.
  • To provide interactive visualization of network unions, intersections, and complements based on various network metrics.
  • To enable comparisons based on node neighborhood architecture and community composition for biological network analysis.

Main Methods:

  • Development of CompNet, a GUI-based tool for interactive network comparison.
  • Implementation of visualization features like pie-nodes and edge-pie matrices for identifying significant nodes and interactions.
  • Application of CompNet to analyze a time-series human gene-expression dataset post-Mycobacterium tuberculosis infection.

Main Results:

  • CompNet facilitates the visual comparison of multiple networks, highlighting key nodes and interactions.
  • The tool enables interactive exploration of union, intersection, and complement regions across networks.
  • Analysis of a human gene-expression dataset revealed changes in interaction patterns and inferred host cell fates during infection.

Conclusions:

  • CompNet serves as a valuable visual data mining tool for biological network analysis.
  • The tool enhances the understanding of dynamic changes in biological systems.
  • CompNet is freely available for academic use.