Biomolecular Interaction Analysis is not limited to proteins. Interactions between DNA - DNA, DNA - protein, lipid - protein and hybrid systems of biomolecules and non-biological surfaces can be investigated.
Biomolecular Interaction Analysis can be used in a variety of ways. It can be used to observe if two or more interactants bind to each other. It can also be used to measure how strong the interactions are, and even to measure the actual association and dissociation rates. In addition, the binding of two interactants can be used to measure the concentration of one of the interactants after making a calibration curve.
When screening for ligand binding partners, the main goal is not to obtain accurate kinetic data. The first aim should be to identify as quickly as possible the candidates that bind the best to a ligand. These specificity studies are relatively easy to perform. Essentially, an analyte is injected and after a fixed amount of time the response is measured. Plotting the responses against the sample number will reveal the best binders. A possible pitfall is the bulk response caused by the medium in which the analyte is dissolved. However, with the proper reference measurements, this can be easily avoided.
Equilibrium analysis is used to determine the strength of the binding. Two types of experiments can be done.
Kinetic rate analysis is used to investigate the behaviour of the system. The analyte is flowed over the ligand and the association rate is monitored in real time. After a while, buffer replaces the analyte and the dissociation rate of the analyte is monitored. Both the association and dissociation curve can be fitted to one of the chosen models. Assessing the fit and calculated constants will reveal if the model is correct. In addition, the equilibrium constant can be calculated.
Analyte concentrations are measured using sensor surfaces with very high ligand densities. In this way, the binding rate is limited by the diffusion of the analyte towards the surface. The binding rate is then proportional to the analyte concentration. After establishing a standard curve, unknown samples can be measured quickly and accurately.
Recently the Calibration Free Concentration Analysis (CFCA) was developed. This method makes it possible the measure the active concentration of a ligand without a calibration curve. The method makes use of the mass transport limitation, which occurs when high-density ligand surfaces are used. By injecting the analyte at two different flow rates (e.g. 10 – 90 µl min-1), the active analyte concentration can be calculated from the slopes of the curves. Some new SPR machines have this method built into the software.
Various techniques are used to study structure-function relationships. Function is measured in terms of specificity (affinity), rate and equilibrium constants as well as thermo-dynamic properties. While with the majority of SPR experiments the interaction conditions are held constant, varying these conditions (e.g. the temperature) can reveal important thermodynamic properties (1),(2). Microcalorimetry, often the method of choice for thermodynamic analysis, measures all components at equilibrium, including solvent effects and brief intermediate states (3).
SPR systems are capable of measuring only the specific ligand-analyte interaction at real-time enabling the researcher to get both rate and equilibrium constants at the same time.
SPR measurements are insensitive to the changes in the number of associated water molecules present in the complex, since these do not affect the refractive index on the sensor surface (3).
|(1)||Roos, H., R. Karlsson, H. Nilshans, et al. Thermodynamic analysis of protein interactions with biosensor technology. J.Mol.Recognit. 11: 204-210; (1998). Goto reference|
|(2)||Zeder-Lutz, G., E. Zuber, J. Witz, et al. Thermodynamic analysis of antigen-antibody binding using biosensor measurements at different temperatures. Analytical Biochemistry 246: 123-132; (1997).|
|(3)||Roos, H. and R. Karlsson Finding the route form structure to function: modifying temperature. (1999).|