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Related Experiment Videos

Protein engineering of subtilisin.

P N Bryan1

  • 1Center for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, 9600 Gudelsky Drive, 20850, Rockville, MD, USA. bryan@umbi.umd.edu

Biochimica Et Biophysica Acta
|January 11, 2001
PubMed
Summary

Subtilisin, a key industrial enzyme, has been extensively studied through protein engineering, particularly for enhancing its stability. This review summarizes engineering efforts and insights into subtilisin stability.

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Area of Science:

  • Biochemistry
  • Enzymology
  • Protein Engineering

Background:

  • Subtilisin is a vital industrial serine protease and a model enzyme for studying enzymatic rate enhancements.
  • Its gene cloning, expression, purification, and structural data facilitated its use in protein engineering studies since the 1980s.
  • Over half of subtilisin's amino acids have been mutated, focusing on catalysis, substrate binding, and stability.

Purpose of the Study:

  • To provide an overview of subtilisin engineering.
  • To critically review the understanding of subtilisin stability gained from protein engineering.
  • To speculate on future directions in subtilisin engineering.

Main Methods:

  • Literature review of protein engineering studies on subtilisin.
  • Analysis of reported mutations affecting catalytic activity, substrate binding, and stability.
  • Synthesis of findings related to subtilisin stability enhancement.

Main Results:

  • Extensive protein engineering has been performed on subtilisin, with a significant focus on enhancing its stability.
  • While stability is the most improved property, it remains the least understood aspect.
  • Numerous mutations across the subtilisin sequence have been reported.

Conclusions:

  • Subtilisin engineering has yielded significant advancements, particularly in stability.
  • Further research is needed to fully elucidate the mechanisms underlying subtilisin stability.
  • Future prospects for subtilisin engineering hold potential for further optimization and understanding.

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