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Evolutionary analysis of enzymes using Chisel.

Alexis A Rodriguez1, Tanuja Bompada, Mustafa Syed

  • 1Mathematics and Computer Science Division, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, USA.

Bioinformatics (Oxford, England)
|September 15, 2007
PubMed
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Chisel is a new computational framework for analyzing enzyme evolution. It automates the identification and characterization of enzyme sequences, aiding in comparative genomics and metabolic engineering.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Enzymology

Background:

  • Genomic and enzymatic data are rapidly expanding.
  • Understanding enzyme evolution is key to diversification.
  • Computational tools are needed for high-resolution analysis.

Purpose of the Study:

  • Introduce Chisel, an automated computational framework.
  • Enable high-resolution analysis of enzyme evolutionary variations.
  • Facilitate identification and characterization of enzyme sequences.

Main Methods:

  • Developed a computational framework and pipeline named Chisel.
  • Automated and interactive identification of enzymatic sequences.
  • Characterization of evolutionary variations in enzymes.

Related Experiment Videos

Main Results:

  • Chisel resource contains 8575 clusters and models for 939 enzymatic functions.
  • Demonstrated Chisel's application in genome analysis, metabolic networks, and metagenome binning.
  • Provided performance analysis against other resources and manual annotations.

Conclusions:

  • Chisel offers a comprehensive resource for enzyme evolutionary analysis.
  • The framework supports various biological applications including comparative genomics and drug design.
  • Chisel enhances the study of enzymatic functions and their diversification.