Literature DB >> 11276528

The effect of a receptor layer on the measurement of rate constants.

D A Edwards1.   

Abstract

Many cellular reactions involve a reactant in solution binding to or dissociating from a reactant attached to a surface. Most studies assume that the reactions occur on this surface, when in actuality the receptors usually lie in a thin layer on top of it. The effect of this layer is considered, particularly as it relates to the BIAcore measurement device, though the results are applicable to biological systems. A dimensionless parameter measuring the strength of the effect of the receptor layer is found. Asymptotic and singular perturbation techniques are used to analyse association and dissociation kinetics, though the effect of the receptor layer need not be small. Linear and nonlinear integral equations result from the analysis; explicit and asymptotic solutions are constructed for physically realizable cases. In addition, effective rate constants are derived that illustrate the combined effects of transport and the receptor layer on the measured rate constants. All these expressions provide a direct way to estimate rate constants from BIAcore binding data.

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Year:  2001        PMID: 11276528     DOI: 10.1006/bulm.2000.0224

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  6 in total

1.  Effective rate models for receptors distributed in a layer above a surface: application to cells and Biacore.

Authors:  Carla Wofsy; Byron Goldstein
Journal:  Biophys J       Date:  2002-04       Impact factor: 4.033

2.  Refining the measurement of rate constants in the BIAcore.

Authors:  David A Edwards
Journal:  J Math Biol       Date:  2004-04-23       Impact factor: 2.259

3.  Steric hindrance effects on surface reactions: applications to BIAcore.

Authors:  David A Edwards
Journal:  J Math Biol       Date:  2007-05-25       Impact factor: 2.259

4.  Array feature size influences nucleic acid surface capture in DNA microarrays.

Authors:  David S Dandy; Peng Wu; David W Grainger
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-07       Impact factor: 11.205

5.  Conformal mapping in optical biosensor applications.

Authors:  Matthew E Zumbrum; David A Edwards
Journal:  J Math Biol       Date:  2014-09-10       Impact factor: 2.259

6.  Receptor heterogeneity in optical biosensors.

Authors:  Ryan M Evans; David A Edwards
Journal:  J Math Biol       Date:  2017-07-13       Impact factor: 2.259

  6 in total

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