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Related Experiment Video

Updated: Jul 11, 2025

Visualizing Genetic Variants, Short Targets, and Point Mutations in the Morphological Tissue Context with an RNA In Situ Hybridization Assay
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dms-viz: Structure-informed visualizations for deep mutational scanning and other mutation-based datasets.

William W Hannon1,2, Jesse D Bloom2,3,4

  • 1Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA 98109.

Biorxiv : the Preprint Server for Biology
|November 14, 2023
PubMed
Summary

Deep-mutational scanning (DMS) generates valuable mutation-function data. A new tool, dms-viz, simplifies visualizing this data within 3D protein structures for enhanced biological insights.

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Area of Science:

  • Structural Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Understanding protein function requires analyzing mutation impacts.
  • High-throughput methods like deep-mutational scanning (DMS) generate extensive mutation-function datasets.
  • Visualizing mutation data in 3D protein structures is crucial but often complex.

Approach:

  • Developed dms-viz, a web-based tool for visualizing mutation data.
  • dms-viz streamlines the integration of mutation-associated data with 3D protein models.
  • The tool provides an interactive format for exploring mutation effects.

Key Points:

  • dms-viz facilitates the visualization of mutation effects on protein function.
  • Enables researchers to correlate mutation impacts with specific structural features.
  • Supports data from DMS experiments and phylogenetic analyses.

Conclusions:

  • dms-viz simplifies the interpretation of complex mutation-function relationships.
  • Accelerates research in areas like viral protein evolution and antibody escape.
  • Offers an accessible platform for visualizing protein mutation data interactively.