New tools for force spectroscopy

Application of atomic force microscopy for characteristics of single intermolecular interactions

Atomic force microscopy (AFM) can be used to make measurements in vacuum, air, and water. The method is able to gather information about intermolecular interaction forces at the level of single molecules. This review encompasses experimental and theoretical data on the characterization of ligand-receptor interactions by AFM. The advantage of AFM in comparison with other methods developed for the characterization of single molecular interactions is its ability to estimate not only rupture forces, but also thermodynamic and kinetic parameters of the rupture of a complex. The specific features of force spectroscopy applied to ligand-receptor interactions are examined in this review from the stage of the modification of the substrate and the cantilever up to the processing and interpretation of the data. We show the specificities of the statistical analysis of the array of data based on the results of AFM measurements, and we discuss transformation of data into thermodynamic and kinetic parameters (kinetic dissociation constant, Gibbs free energy, enthalpy, and entropy). Particular attention is paid to the study of polyvalent interactions, where the definition of the constants is hampered due to the complex stoichiometry of the reactions.

Single-molecule force spectroscopy: a method for quantitative analysis of ligand–receptor interactions

The quantitative analysis of molecular interactions is of high interest in medical research. Most methods for the investigation of ligand–receptor complexes deal with huge ensembles of biomolecules, but often neglect interactions with low affinity or small subpopulations with different binding properties. Single-molecule force spectroscopy offers fascinating possibilities for the quantitative analysis of ligand–receptor interactions in a wide affinity range and the sensitivity to detect point mutations. Furthermore, this technique allows one to address questions about the related binding energy landscape. In this article, we introduce single-molecule force spectroscopy with a focus on novel developments in both data analysis and theoretical models for the technique. We also demonstrate two examples of the capabilities of this method.

An integrated methodology for data processing in dynamic force spectroscopy of ligand–receptor binding

Dynamic force spectroscopy (DFS), using atomic force microscopy (AFM), is a powerful tool to study ligand-receptor binding. The interaction mode of two binding partners is investigated by exploring stochastic behaviors of bond rupture events. However, to define a rupture event from force-distance measurements is not conclusive or unique in literature. To reveal the influence of event identification methods, we have developed an efficient protocol to manage tremendous amount of data by implementing different choices of peak selection from the force-distance curve. This data processing software simplifies routinely experimental procedures such as cantilever spring constant and force-distance curve calibrations, statistical treatments of data, and analysis distributions of rupture events. In the present work, we took available experimental data from a complex between a chelate metal compound and a monoclonal antibody as a study system.

Specific molecular interactions by force spectroscopy: From single bonds to collective properties

Interactions involving multiple bonds occur throughout biology, and have distinct properties that are fundamentally different from those present in single bond systems. We have developed a new method to analyse the AFM force measurements in order to extract relevant information and to characterise the interactions involving from single to multiple bonds. Our study reveals a surprising behaviour in the presence of multiple bonds with a high rebinding probability: the mean binding forces increase with decreasing pulling velocity. Such behaviour is different from the force dependence on the loading rate for single bond rupture or existing models for multiple bonds rupture.