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EzSEA: an interactive web interface for enzyme sequence evolution analysis.

Angela K Jiang1,2, Jerry Zhao2, Xiaofang Jiang2

  • 1Center of Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20740, United States.

Bioinformatics Advances
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

Enzyme Sequence Evolution Analysis (EzSEA) identifies key mutations shaping enzyme function and evolution. This web tool integrates evolutionary history with intuitive visualizations for better understanding of enzyme evolution.

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Area of Science:

  • Biochemistry
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Enzymes are crucial for biological processes, and understanding their evolution requires identifying functional mutations.
  • Existing methods for analyzing enzyme evolution lack integrated evolutionary history and visualization tools.

Purpose of the Study:

  • To develop Enzyme Sequence Evolution Analysis (EzSEA), a web interface for identifying functionally important mutations in enzymes.
  • To provide intuitive visualization of evolutionary insights, highlighting key mutations and phylogenetic relationships.

Main Methods:

  • EzSEA integrates structural prediction, homology search, multiple sequence alignment, phylogenetic tree inference, and ancestral sequence reconstruction.
  • The tool enables delineation of enzymes and visualization of key mutations on phylogenetic trees.

Main Results:

  • EzSEA successfully identifies putative functionally important mutations by analyzing enzyme sequence evolution.
  • The tool was validated by pinpointing known key mutations in the gut bacteria enzyme bilirubin reductase.

Conclusions:

  • EzSEA offers a novel, integrated approach to studying enzyme evolution.
  • The web interface provides valuable tools for researchers to explore enzyme function and evolutionary trajectories.