Tunable DNA binding on graphene oxide via polyethyleneimine topology and density: mechanistic insights for nonviral gene delivery

Samira Davoudinia, Rana Imani, Mohammad Tafazzoli-Shadpour, Najmeh Fani, Hesam Makki

Research output: Contribution to journalArticlepeer-review

Abstract

Graphene oxide (GO) functionalized with polyethyleneimine (PEI) is a promising platform for nonviral gene delivery, yet the effects of polymer architecture and surface density on DNA binding remain poorly understood. Here, we use extensive all-atom molecular dynamics (MD) simulations, including free energy calculations, to elucidate how the topology (linear vs. branched) and grafting density of PEI govern DNA adsorption on GO surfaces. By systematically varying the nitrogen-to-phosphate (N/P) ratio through adjustments in surface amine density, we study the direct impact of this parameter between DNA and GO–PEI interactions. In contrast to common understanding, our potential of mean force (PMF) analysis reveals a non-monotonic relationship between PEI coverage and DNA binding affinity, with intermediate densities yielding the strongest yet reversible interactions. This behavior results from a balance between favorable electrostatic and hydrogen bonding interactions and opposing steric and electrostatic repulsion, amplified by ionic screening at higher densities. Radial distribution function (RDF) analysis confirms the formation of dense chloride ion shells at high PEI densities, which inhibit DNA approach by neutralizing surface charge. We also show that topology plays a key role: branched PEI engages DNA more effectively through multivalent interactions within the grooves, while linear PEI binds more diffusely along the phosphate backbone. These mechanistic insights highlight the critical role of polymer structure and coverage in modulating DNA binding, offering design principles for optimizing GO-based gene delivery systems.

Original languageEnglish
Pages (from-to)27911-27922
Number of pages12
JournalNanoscale
Volume17
Issue number48
Early online date24 Nov 2025
DOIs
Publication statusPublished - 28 Dec 2025

Data Availability Statement

The data supporting this article has been included in the main text and the supplementary information (SI). The Supplementary Information includes detailed methods for GO and PEI functionalization, additional molecular dynamics analyses, and supporting figures and tables referenced in the main text. See DOI: https://doi.org/10.1039/d5nr03441h.

Acknowledgements

The authors thank Mahsa Nami for helpful discussions.

Funding

This work made use of the facilities of the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR) provided and funded by the N8 Research Partnership and EPSRC (Grant No. EP/T022167/1). The Centre is coordinated by the Universities of Durham, Manchester, and York.

ASJC Scopus subject areas

  • General Materials Science

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