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KinView: a visual comparative sequence analysis tool for integrated kinome research.

Daniel Ian McSkimming1, Shima Dastgheib2, Timothy R Baffi3

  • 1Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA. nkannan@uga.edu.

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Summary
This summary is machine-generated.

We developed the Multiple Sequence Alignment Ontology (MSAOnt) and Kinome Viewer (KinView) to integrate and visualize complex biological data. KinView aids in understanding cancer variants and post-translational modifications in protein kinases.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Multiple sequence alignments (MSAs) are crucial for biological analysis but lack user-friendly tools for integration and visualization.
  • Systems biology research is hindered by challenges in combining MSAs with diverse data like cancer variants and post-translational modifications.

Purpose of the Study:

  • To present the Multiple Sequence Alignment Ontology (MSAOnt) for representing alignments in an ontological format.
  • To introduce the Kinome Viewer (KinView) for interactive visualization and analysis of protein kinase cancer variants, natural variation, and post-translational modifications.

Main Methods:

  • Developed the Multiple Sequence Alignment Ontology (MSAOnt) using SPARQL Protocol and RDF Query Language.
  • Created the Kinome Viewer (KinView), an interactive visualization tool for integrating diverse biological data.
  • Performed comparative analyses of kinase groups to identify patterns in variation and modifications.

Main Results:

  • Identified differential phosphorylation patterns in the activation segment of tyrosine and serine/threonine kinases using KinView.
  • Discovered and characterized a regulatory tyrosine (Y177PLK4) in the PLK4 activation segment.
  • Formulated and validated a hypothesis for a novel loss-of-function variant (D523NPKCβ) in PKCβ.

Conclusions:

  • MSAOnt and KinView offer a novel, extensible interface for comparative analyses and data integration.
  • KinView facilitates hypothesis generation and testing by providing user-friendly visualization of complex biological data.
  • The tools enhance the application of MSAs in systems biology and cancer research.