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Mammalian Esterase Activity: Implications for Peptide Prodrugs.
Yana D Petri1, Ruben Verresen2,3, Clair S Gutierrez1
1Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
A new Förster resonance energy transfer (FRET) assay quantifies esterase activity for esterified biologics. This method aids in understanding release kinetics and designing effective peptide prodrugs.
Area of Science:
- Biochemistry and Chemical Biology
- Enzymology
- Drug Delivery
Background:
- Esterification of peptides and proteins offers a traceless, bioreversible modification to enhance clinical utility.
- Quantifying esterase-catalyzed hydrolysis rates for these esterified biologics is a significant challenge.
- Existing methods lack the sensitivity and continuous monitoring needed for precise kinetic analysis.
Purpose of the Study:
- To develop a continuous Förster resonance energy transfer (FRET) assay for quantifying esterase activity.
- To establish a kinetic model for the release of esterified groups from biologics.
- To facilitate the rational design of effective peptide prodrugs.
Main Methods:
- Development of a continuous FRET assay utilizing a peptidic substrate and the protease Glu-C.
- Validation of the assay with pig liver esterase (PLE) and human carboxylesterases using simple and self-immolative esters.
- Extension of the Michaelis-Menten model to a substrate → intermediate → product (SIP) model incorporating first-order intermediate decay.
Main Results:
- The FRET assay successfully detected esterase activity, with simple esters showing no cleavage.
- The SIP model allowed evaluation of rate constants for PLE-catalyzed ester cleavage (kcat/KM = 1.63 × 10^3 M^-1 s^-1) and quinone methide elimination (kI = 0.00325 s^-1).
- Esterase activity was also detectable in human intestinal S9 fraction, demonstrating in vivo relevance.
Conclusions:
- The developed FRET assay and SIP model provide a robust method for assessing esterase activity and release kinetics of esterified biologics.
- This approach enhances the understanding of peptide prodrug behavior.
- It facilitates the rational design and optimization of novel peptide-based therapeutics.
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