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6 - Macromolecular interactions

Published online by Cambridge University Press:  05 May 2010

Matthew A. Cooper
Affiliation:
University of Cambridge
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Summary

THE SCOPE OF MACROMOLECULAR INTERACTIONS

Interactions between proteins constitute the best-characterized and perhaps largest family of interactions between biological macromolecules. This is partly because of the long-recognized diversity of the protein constituents of cells. The significance of diversity in nucleic acids, lipids, and carbohydrates is becoming more apparent, but proteins have held pride of place as the carriers of biological specificity for many decades. It is also partly because the diversity of protein structure and function is so easily observed in contrast to the more subtle variations that determine the specificity of other macromolecules. It is not surprising, therefore, that the bulk of biomolecular interaction studies performed with optical biosensors involves protein–protein binding. The technology can in principle be used to monitor any molecular interactions, and studies involving nucleic acids answer for a significant fraction of the published literature.

Proteins lend themselves well to biomolecular interaction work with optical biosensors. The wealth of functional groups on a “standard” protein molecule offers a selection of approaches for attaching interactants to the sensor surface, ranging from amine- or thiol-based chemical coupling to specific high-affinity capturing methods. Membrane-associated proteins can be embedded in lipid layers on the sensor surface to preserve a hydrophobic environment. Commonly, proteins are relatively large molecules with molecular weights from tens up to hundreds of kilodaltons, so the response obtained in mass-concentration detection methods like surface plasmon resonance (SPR) is usually well above the detection limit of the instrumentation. In addition, most protein–protein interactions can be broken by exposure to moderately mild conditions, offering good opportunities for efficient surface regeneration.

Type
Chapter
Information
Label-Free Biosensors
Techniques and Applications
, pp. 143 - 158
Publisher: Cambridge University Press
Print publication year: 2009

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