Abstract
Isothermal titration calorimetry (ITC) is a widely used tool to experimentally probe the heat signal of the formation of the protein corona around macromolecules or nanoparticles. If an appropriate binding model is applied to the ITC data, the heat of binding and the binding stoichiometry as well as the binding affinity per protein can be quantified and interpreted. However, the binding of the protein to the macromolecule is governed by complex microscopic interactions. In particular, due to the steric and electrostatic protein–protein interactions within the corona as well as cooperative, charge renormalization effects of the total complex, the application of standard (e.g., Langmuir) binding models is questionable and the development of more appropriate binding models is very challenging. Here, we discuss recent developments in the interpretation of the Langmuir model applied to ITC data of protein corona formation, exemplified for the well-defined case of lysozyme coating highly charged dendritic polyglycerol sulfate (dPGS), and demonstrate that meaningful data can be extracted from the fits if properly analyzed. As we show, this is particular useful for the interpretation of ITC data by molecular computer simulations where binding affinities can be calculated but it is often not clear how to consistently compare them with the ITC data. Moreover, we discuss the connection of Langmuir models to continuum binding models (where no discrete binding sites have to be assumed) and their possible extensions toward the inclusion of leading order cooperative electrostatic effects.Graphical Schematic plot of the ITC experiment and the binding cooperativity of protein corona formation revealed from computer simulations.
Highlights
The rational design of macromolecular polymeric drugs and nanocarriers has become a central task in medicine and pharmacy in the recent years [1,2,3]
We show how binding affinities from simulations, namely the free energy of binding per protein extracted from a potential of mean force calculation, can be compared with isothermal titration calorimetry (ITC) data fitted by the standard Langmuir model
In this work, we introduced the concept of a coverage-dependent binding affinity in the Langmuir model that serves for better interpretation of ITC data as well as for extensions of standard binding models
Summary
The rational design of macromolecular polymeric drugs and nanocarriers has become a central task in medicine and pharmacy in the recent years [1,2,3]. We show how binding affinities from simulations, namely the free energy of binding per protein extracted from a potential of mean force calculation, can be compared with ITC data fitted by the standard Langmuir model.
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