Effective rate models for the analysis of transport-dependent biosensor data

被引:50
作者
Mason, T
Pineda, AR
Wofsy, C
Goldstein, B
机构
[1] Univ Calif Los Alamos Natl Lab, Theoret Div T 10, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA
[2] Univ New Mexico, Dept Math & Stat, Albuquerque, NM 87131 USA
[3] Univ Arizona, Program Appl Math, Tucson, AZ 85721 USA
关键词
biosensors; BIACORE; mass transport; binding kinetics; diffusion-reaction;
D O I
10.1016/S0025-5564(99)00023-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Optical biosensors, including the BIACORE, provide an increasingly popular method for determining reaction rates of biomolecules. In a flow chamber, with one reactant immobilized on a chip on the sensor surface, a solution containing the other reactant (the analyte) flows through the chamber. The time course of binding of the reactants is monitored. Scientists using the BIACORE to understand biomolecular reactions need to be able to separate intrinsic reaction rates from the effects of transport in the biosensor, For a model to provide a useful basis for such an analysis, it must reflect transport accurately, while remaining simple enough to couple with a routine for estimating reaction rates from BIACORE data, Models have been proposed previously for this purpose, consisting of an ordinary differential equation with 'effective rate coefficients' incorporating reaction and transport parameters. In this paper we investigate both the theoretical basis and numerical accuracy of these and related models. (C) 1999 Published by Elsevier Science Inc. All rights reserved.
引用
收藏
页码:123 / 144
页数:22
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