Issue 34, 2022

Quantitative electrostatic force tomography for virus capsids in interaction with an approaching nanoscale probe

Abstract

Electrostatic interactions are crucial for the assembly, disassembly and stability of proteinaceous viral capsids. Moreover, at the molecular scale, elucidating the organization and structure of the capsid proteins in response to an approaching nanoprobe is a major challenge in biomacromolecular research. Here, we report on a generalized electrostatic model, based on the Poisson–Boltzmann equation, that quantifies the subnanometric electrostatic interactions between an AFM tip and a proteinaceous capsid from molecular snapshots. This allows us to describe the contributions of specific amino acids and atoms to the interaction force. We show validation results in terms of total electrostatic forces with previous semi-empirical generalized models at available length scales (d > 1 nm). Then, we studied the interaction of the Zika capsid with conical and spherical AFM tips in a tomography-type analysis to identify the most important residues and atoms, showing the localized nature of the interaction. This method can be employed for the interpretation of force microscopy experiments in fundamental virological characterization and in diverse nanomedicine applications, where specific regions of the protein cages are aimed to electrostatically interact with molecular sized functionalized inhibitors, or tailoring protein-cage functional properties for nucleic acid delivery.

Graphical abstract: Quantitative electrostatic force tomography for virus capsids in interaction with an approaching nanoscale probe

Supplementary files

Article information

Article type
Communication
Submitted
09 May 2022
Accepted
02 Aug 2022
First published
03 Aug 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale, 2022,14, 12232-12237

Quantitative electrostatic force tomography for virus capsids in interaction with an approaching nanoscale probe

C. D. Cooper, I. Addison-Smith and H. V. Guzman, Nanoscale, 2022, 14, 12232 DOI: 10.1039/D2NR02526D

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