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Indirect-Acting Cholinergic Agonists: Mechanism of Action

Indirect-Acting Cholinergic Agonists: Mechanism of Action

Indirect-acting cholinergic agonists work by interacting with an enzyme called acetylcholinesterase (AChE) in the synaptic cleft. They can be reversible or irreversible inhibitors and have different effects on the enzyme.
Reversible inhibitors like edrophonium bind to a specific part of the enzyme called the anionic catalytic site. They form noncovalent bonds, which means they are not strongly attached to the enzyme. This creates a temporary and less stable enzyme–inhibitor complex,...

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Related Experiment Video

Updated: Mar 29, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Large-Scale First-Principles Molecular Dynamics Simulations with Electrostatic Embedding: Application to

Jean-Luc Fattebert¹, Edmond Y Lau², Brian J Bennion²

¹Center for Applied Scientific Computing, Lawrence Livermore National Laboratory , Livermore, California 94550, United States.

Journal of Chemical Theory and Computation

|December 9, 2015

Summary

This summary is machine-generated.

Researchers simulated enzyme function using advanced computational methods. First-principles molecular dynamics revealed two energy barriers in acetylcholinesterase catalysis, with the second barrier being rate-limiting and matching experimental data.

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Area of Science:

Computational chemistry
Biophysics
Enzyme kinetics

Background:

Enzymes are complex systems requiring accurate simulation for functional studies.
Simulating enzymatic reactions demands significant computational resources.

Purpose of the Study:

To apply novel numerical techniques for large-scale first-principles molecular dynamics simulations.
To study the enzymatic reaction catalyzed by acetylcholinesterase.

Main Methods:

Density functional theory (DFT) calculations for a 612-atom quantum-mechanical (QM) subsystem.
An O(N) complexity finite-difference approach for QM calculations.
Embedding the QM subsystem within an external potential field representing the environment.
First-principles molecular dynamics for finite-temperature sampling of the acylation reaction.

Main Results:

Identified two energy barriers along the reaction coordinate for acetylcholine acylation.
Determined the second energy barrier to be 8.5 kcal/mol.
The calculated rate-limiting barrier showed good agreement with experimental values.

Conclusions:

The developed numerical techniques enable accurate simulation of complex enzymatic systems.
The study provides detailed insights into the mechanism of acetylcholinesterase catalysis.
Computational findings correlate well with experimental observations for enzyme-catalyzed reactions.