Predicting protein function and orientation on a gold nanoparticle surface using a residue-based affinity scale

Joanna Xiuzhu Xu, Md. Siddik Alom, Rahul Yadav and Nicholas C. Fitzkee ()
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Joanna Xiuzhu Xu: Mississippi State University
Md. Siddik Alom: Mississippi State University
Rahul Yadav: Mississippi State University
Nicholas C. Fitzkee: Mississippi State University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract The orientation adopted by proteins on nanoparticle surfaces determines the nanoparticle’s bioactivity and its interactions with living systems. Here, we present a residue-based affinity scale for predicting protein orientation on citrate-gold nanoparticles (AuNPs). Competitive binding between protein variants accounts for thermodynamic and kinetic aspects of adsorption in this scale. For hydrophobic residues, the steric considerations dominate, whereas electrostatic interactions are critical for hydrophilic residues. The scale rationalizes the well-defined binding orientation of the small GB3 protein, and it subsequently predicts the orientation and active site accessibility of two enzymes on AuNPs. Additionally, our approach accounts for the AuNP-bound activity of five out of six additional enzymes from the literature. The model developed here enables high-throughput predictions of protein behavior on nanoparticles, and it enhances our understanding of protein orientation in the biomolecular corona, which should greatly enhance the performance and safety of nanomedicines used in vivo.

Date: 2022
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DOI: 10.1038/s41467-022-34749-w

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