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Wenxiang 3.0: Evolutionary Visualization of α, π, and 3/10 Helices.

John R Jungck1, Metehan Cebeci1

  • 1Delaware Biotechnology Institute, University of Delaware, Newark, DE, USA.

Evolutionary Bioinformatics Online
|June 7, 2022
PubMed
Summary

Wenxiang 3.0 enhances protein helix visualization by incorporating evolutionary conservation, diverse helix types (alpha, pi, 3/10), and amino acid physico-chemical properties into planar graph diagrams.

Keywords:
Wenxiang diagramsand 3/10 helicesevolutionary conservationαπ

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Protein secondary structures, particularly helices, are fundamental to protein function.
  • Existing visualization methods like helical wheels have limitations in representing complex helical information.
  • Wenxiang diagrams offer a planar graph approach for visualizing protein helices.

Purpose of the Study:

  • To introduce Wenxiang 3.0, an upgraded version of the Wenxiang diagram tool.
  • To enhance the visualization of protein helices by integrating evolutionary and physico-chemical data.
  • To provide a more comprehensive tool for analyzing protein structure and sequence relationships.

Main Methods:

  • Development of Wenxiang 3.0 software with new features.
  • Integration of CONSURF encoding for evolutionary conservation visualization.
  • Implementation of arc overlays to represent pitches of alpha, pi, and 3/10 helices.
  • Mapping of amino acid physico-chemical properties to geometric shapes.

Main Results:

  • Wenxiang 3.0 allows coloring amino acid residues based on evolutionary conservation.
  • The software can now illustrate different helix types (alpha, pi, 3/10) using pitch arcs.
  • Physico-chemical properties are visually represented by colored geometric shapes for each residue.

Conclusions:

  • Wenxiang 3.0 offers a significantly enhanced method for visualizing protein helices.
  • The new features facilitate deeper insights into protein structure-function relationships.
  • This tool aids researchers in analyzing sequence-structure-evolutionary conservation correlations.