Determining the esterase activity of peptides and peptide assemblies.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2024
Historique:
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 30 5 2024
Statut: ppublish

Résumé

Catalytic peptides are gaining attention as alternatives to enzymes, especially in industrial applications. Recent advances in peptide design have improved their catalytic efficiency with approaches such as self-assembly and metal ion complexation. However, the fundamental principles governing peptide catalysis at the sequence level are still being explored. Ester hydrolysis, a well-studied reaction, serves as a widely employed method to evaluate the catalytic potential of peptides. The standard colorimetric reaction involving para-nitrophenyl acetate hydrolysis acts as a benchmark assay, providing a straightforward and efficient screening method for rapidly identifying potential catalysts. However, maintaining standardized conditions is crucial for reproducible results, given that factors such as pH, temperature, and substrate concentration can introduce unwanted variability. This necessity becomes particularly pronounced when working with peptides, which often exhibit slower reaction rates compared to enzymes, making even minor variations significantly influential on the final outcome. In this context, we present a refined protocol for assessing the catalytic activity of peptides and peptide assemblies, addressing critical considerations for reproducibility and accuracy.

Identifiants

pubmed: 38816131
pii: S0076-6879(24)00031-4
doi: 10.1016/bs.mie.2024.02.002
pii:
doi:

Substances chimiques

Peptides 0
Esterases EC 3.1.-
Nitrophenols 0
4-nitrophenyl acetate 830-03-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

423-433

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Patrizia Janković (P)

Faculty of Biotechnology and Drug Development, University of Rijeka, Rijeka, Croatia.

Daniela Kalafatovic (D)

Faculty of Biotechnology and Drug Development, University of Rijeka, Rijeka, Croatia. Electronic address: daniela.kalafatovic@uniri.hr.

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Classifications MeSH