Analysis of protein binding to receptor-doped lipid monolayers by Monte Carlo simulation


Journal Article

This paper presents a Monte Carlo simulation (MCS) method for estimating the parameters that characterize ligand-receptor binding directly from experimentally derived binding isotherms. Binding parameters are estimated by incorporating an MCS algorithm for ligand binding to a two-dimensional receptor array into a nonlinear regression program. The MCS method was tested by analyzing experimental isotherms of avidin binding to biotinylated lipid in Langmuir-Blodgett (LB) monolayers. The MCS-derived cooperativity coefficients and intrinsic association constants for avidin-biotin binding to LB films are correlated strongly (R2 > 0.93) with the binding parameters determined from the same experimental data by a thermodynamic equilibrium binding model (Zhao et al. 1993. Langmuir. 9:3166–3173). This result shows MCS to be an accurate and potentially more versatile method for characterizing biomolecular interactions at surfaces. © 1994, The Biophysical Society. All rights reserved.

Full Text

Duke Authors

Cited Authors

  • Zhao, S; Reichert, WM

Published Date

  • January 1, 1994

Published In

Volume / Issue

  • 66 / 2

Start / End Page

  • 305 - 309

International Standard Serial Number (ISSN)

  • 0006-3495

Digital Object Identifier (DOI)

  • 10.1016/S0006-3495(94)80778-7

Citation Source

  • Scopus