Brownian simulation of many-particle binding to a reversible receptor array
type: Item
instance of: scholarly article
title: Brownian simulation of many-particle binding to a reversible receptor array
zbMATH Open document ID: 0897.92008
author: Arieh L. Edelstein
author: Noam Agmon
published in: Journal of Computational Physics
publication date: 1997-06-10T00:00:00Z
review text: The present work detailed the theory and practice of constructing a three-dimensional Brownian simulation algorithm for many-particle reversible binding to a receptor array. The algorithm combines geometry-sensitive time-steps with analytical local solutions to produce an accurate representation of the diffusion equations depicting reversible binding under the given geometrical constraints. Checking and debugging such an algorithm is quite demanding. One must search for nontrivial limits of the problem which are either known analytically or solvable by other algorithms. The present algorithm has been subjected to an extensive series of such tests. The algorithm has many potential applications, from the action of neurotransmitters in the synaptic gap between nerve cells to modelling reversible attachment to chromatography columns in analytical chemistry. The question is whether the added accuracy and flexibility is really essential? Given the quality of the present experimental data, perhaps less sophisticated Monte Carlo routines are sufficient.
Mathematics Subject Classification ID: 92C30
Mathematics Subject Classification ID: 92-08
Mathematics Subject Classification ID: 60J70
zbMATH DE Number: 1019299
zbMATH Keywords: three-dimensional Brownian simulation algorithm
zbMATH Keywords: many-particle reversible binding
zbMATH Keywords: receptor array
zbMATH Keywords: neurotransmitters
zbMATH Keywords: nerve cells
MaRDI profile type: Publication
OpenAlex ID: W2081879395
cites work: Stochastic Problems in Physics and Astronomy
cites work: Q3713481
DOI: 10.1006/JCPH.1996.5617
description: scientific article; zbMATH DE number 1019299