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Mathematical modeling of bioassays

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Abstract

The high affinity and specificity of biological receptors determine the demand for and the intensive development of analytical systems based on use of these receptors. Therefore, theoretical concepts of the mechanisms of these systems, quantitative parameters of their reactions, and relationships between their characteristics and ligand–receptor interactions have become extremely important. Many mathematical models describing different bioassay formats have been proposed. However, there is almost no information on the comparative characteristics of these models, their assumptions, and predic- tive insights. In this review we suggested a set of criteria to classify various bioassays and reviewed classical and contempo- rary publications on these bioassays with special emphasis on immunochemical analysis systems as the most common and in-demand techniques. The possibilities of analytical and numerical modeling are discussed, as well as estimations of the minimum concentrations that may be detected in bioassays and recommendations for the choice of assay conditions.

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Abbreviations

ELISA:

enzyme-linked immunosorbent assay

ICA:

immunochromatographic assay

PFIA:

polarization fluo-rescent immunoassay

PCR:

polymerase chain reaction

RIA:

radioimmunoassay

RU:

resonance units

SPR:

surface plasmon resonance

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  1. Bach Institute of Biochemistry, Research Center for Biotechnology, Russian Academy of Sciences, 119071, Moscow, Russia

    D. V. Sotnikov, A. V. Zherdev & B. B. Dzantiev

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Original Russian Text © D. V. Sotnikov, A. V. Zherdev, B. B. Dzantiev, 2017, published in Uspekhi Biologicheskoi Khimii, 2017, Vol. 57, pp. 385-438.

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Sotnikov, D.V., Zherdev, A.V. & Dzantiev, B.B. Mathematical modeling of bioassays. Biochemistry Moscow 82, 1744–1766 (2017). https://doi.org/10.1134/S0006297917130119

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