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Updated: Jan 17, 2026

Defining Substrate Specificities for Lipase and Phospholipase Candidates
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A method for predicting enzyme substrate specificity residues using homologous sequence information.

Seiya Mori1, Teppei Niide1, Yoshihiro Toya1

  • 1Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan.

Protein Science : a Publication of the Protein Society
|September 25, 2025
PubMed
Summary

This study introduces a new method to pinpoint crucial amino acid residues influencing enzyme substrate specificity. Experiments validated the approach, successfully altering enzyme function through targeted mutations.

Keywords:
enzymesoftwaresubstrate specificity

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Distinguishing structural from functionally critical amino acid residues in enzymes is a significant challenge.
  • Understanding residue function is vital for enzyme mechanism elucidation, drug discovery, and protein engineering.

Purpose of the Study:

  • To develop a computational methodology for identifying amino acid residues that determine enzyme substrate specificity.
  • To validate the method's efficacy in predicting and experimentally confirming specificity-determining residues.

Main Methods:

  • Framing sequence comparison of homologous enzymes as a classification problem, with residues as features.
  • Applying the method to enzyme pairs: trypsin/chymotrypsin, adenylyl cyclase/guanylyl cyclase, and lactate dehydrogenase (LDH)/malate dehydrogenase (MDH).
  • Experimental validation through site-directed mutagenesis on the LDH/MDH pair.

Main Results:

  • Accurate prediction of known specificity-determining residues across tested enzyme pairs.
  • Successful experimental alteration of LDH substrate specificity by mutating identified key residues to utilize oxaloacetate.
  • Demonstrated maintenance of protein expression levels post-mutation.

Conclusions:

  • The developed methodology efficiently identifies residues governing enzyme substrate specificity.
  • This approach facilitates enzyme engineering and functional studies.
  • The method is accessible via the EZSCAN tool (https://ezscan.pe-tools.com/).