A Model for the Interfacial Kinetics of Phospholipase D Activity on Long-Chain Lipids

Abstract

The membrane-active enzyme phospholipase D (PLD) catalyzes the hydrolysis of the phosphodiester bond in phospholipids and plays a critical role in cell signaling. This catalytic reaction proceeds on lipid-water interfaces and is an example of heterogeneous catalysis in biology. Recently we showed that planar lipid bilayers, a previously unexplored model membrane for these kinetic studies, can be used for monitoring interfacial catalytic reactions under well-defined experimental conditions with chemical and electrical access to both sides of the lipid membrane. Employing an assay that relies on the conductance of the pore-forming peptide gramicidin A to monitor PLD activity, the work presented here reveals the kinetics of hydrolysis of long-chain phosphatidylcholine lipids in situ. We have developed an extension of a basic kinetic model for interfacial catalysis that includes product activation and substrate depletion. This model describes the kinetic behavior very well and reveals two kinetic parameters, the specificity constant and the interfacial quality constant. This approach results in a simple and general model to account for product accumulation in interfacial enzyme kinetics.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2013
Accession Number
ADA584129

Entities

People

  • David Sept
  • Erik C. Yusko
  • Jerry Yang
  • Michael Mayer
  • Sheereen Majd

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alkanes
  • Biochemistry
  • Biomedical Engineering
  • Chemical Engineering
  • Chemical Properties
  • Chemical Synthesis
  • Chemistry
  • Films
  • Kinetics
  • Lipids
  • Materials
  • Membrane Lipids
  • Monomolecular Films
  • Physical Properties
  • Self Assembled Monolayers
  • Surface Plasmon Resonance
  • Synthetic Membranes

Fields of Study

  • Biology
  • Chemistry

Readers

  • Electrochemical Engineering/ Fuel Cell Technologies
  • Molecular and Cellular Biochemistry
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference