Predicting the Orientation of Adsorbed Proteins Steered with Electric Fields Using a Simple Electrostatic Model

Area of Science:

• Biophysics
• Computational Chemistry
• Surface Science

Background:

• Protein adsorption to surfaces is typically random and compact.
• Controlling protein orientation is crucial for developing advanced catalytic surfaces.
• Electric fields offer a promising method for orienting adsorbed proteins.

Purpose of the Study:

• To investigate the role of electric fields in controlling protein orientation during adsorption.
• To understand how protein orientation affects catalytic activity.
• To simulate and predict protein adsorption behavior under an external electric field.

Main Methods:

• Numerical simulation of electrostatic potential using an implicit-solvent model.
• Application of the linearized Poisson-Boltzmann equation.
• Implementation in an extended PyGBe code incorporating an external electric field.

Main Results:

• Electrostatics play a dominant role in determining protein orientation under specific conditions.
• Simulations predicted protein affinity and orientation as a function of applied potential.
• Negative electric fields were found to increase the exposure of trypsin active sites.

Conclusions:

• Electrostatic interactions can be effectively utilized to control the orientation of adsorbed proteins.
• The orientation of adsorbed trypsin influences its catalytic activity.
• Computational modeling provides insights into protein-surface interactions and their functional consequences.