Interaction of Proteins with Polyelectrolytes: A Comparison between Theory and Experiment

TL;DR

This paper combines experimental and computational methods to study protein-polyelectrolyte interactions, revealing counterion release as the main binding mechanism and validating theoretical predictions with experimental data.

Contribution

It provides a comprehensive comparison of theory and experiment on protein-polyelectrolyte interactions, highlighting counterion release as the key driving force and validating models with experimental results.

Findings

Counterion release drives protein-polyelectrolyte binding.

Binding free energy scales with salt concentration logarithm.

Simulations accurately predict binding constants for certain systems.

Abstract

We discuss recent investigations of the interaction of polyelectrolytes with proteins. In particular, we review our recent studies on the interaction of simple proteins such as human serum albumin (HSA) or lysozyme with linear polyelectrolytes, charged dendrimers, charged networks, and polyelectrolyte brushes. In all cases discussed here we combined experimental work with molecular dynamics (MD) simulations and mean-field theories. In particular, isothermal titration calorimetry (ITC) has been employed to obtain the respective binding constants Kb and the Gibbs free energy of binding. MD-simulations with explicit counterions but implicit water demonstrate that counterion release is the main driving force for the binding of proteins to strongly charged polyelectrolytes: Patches of positive charges located on the surface of the protein become a multivalent counterion of the polyelectrolyte thereby releasing a number of counterions condensed on the polyelectrolyte. The binding Gibbs free energy due to counterion release is predicted to scale with the logarithm of the salt concentration in the system which is verified both by simulations and experiment. In several cases, namely for the interaction of proteins with linear polyelectrolytes and highly charged hydrophilic dendrimers the binding constant could be calculated from simulations in very good approximation. This finding demonstrated that in these cases explicit hydration effects do not contribute to the Gibbs free energy of binding. The Gibbs free energy can also be used to predict the kinetics of protein uptake by microgels for a given system by applying dynamic density functional theory.