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Generating topological protein interaction scores and data visualization with TopS.

Mihaela E Sardiu1, Laurence Florens1, Michael P Washburn2

  • 1Stowers Institute for Medical Research, Kansas City, MO 64110, USA.

Methods (San Diego, Calif.)
|September 3, 2019
PubMed
Summary
This summary is machine-generated.

We developed TopS, a web tool for analyzing protein interaction networks. TopS identifies key interactions by generating topological scores from multivariate data, aiding network and cluster visualization.

Keywords:
HDACHistone deacetylaseProtein interaction networkQuantitative proteomicsSIN3Topological scoring

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Identifying subnetworks within large biological networks is crucial for understanding complex biological processes.
  • Protein interaction networks are essential for mapping cellular functions and disease mechanisms.
  • Existing methods may lack intuitive interfaces for analyzing multivariate data in the context of network topology.

Purpose of the Study:

  • To introduce TopS, a novel web application for topological score analysis of protein interaction networks.
  • To provide an intuitive platform for users to upload multivariate data and identify significant interactions.
  • To facilitate the visualization of network subnetworks and their functional implications.

Main Methods:

  • Development of a topological score framework implemented as a web application (TopS).
  • Utilizing multivariate data matrices to calculate topological scores between network components.
  • Integration with visualization tools for generating heatmaps, clusters, and network graphs.

Main Results:

  • TopS generates a scoring matrix indicating preference interactions within the network.
  • The tool produces downloadable scoring matrices, heatmaps, and clustering figures in PDF format.
  • Demonstrated utility of TopS using a dataset from the human Sin3 chromatin remodeling complex study.

Conclusions:

  • TopS offers an accessible and effective method for detecting subnetworks and analyzing protein interaction networks.
  • The web tool simplifies the process of integrating multivariate data with network topology analysis.
  • TopS aids researchers in uncovering functional relationships and prioritizing interactions for further investigation.