Breakthrough in Gold Nanoparticle Design for Targeted Drug Delivery

Strategic Insights -

Researchers at ITMO University in Russia have developed a systematic approach to designing gold nanoparticles for targeted drug delivery using density functional theory (DFT). The approach has shown promising results in predicting binding energies and elucidating electronic properties of AuNP-drug complexes. According to the study, the use of DFT has enabled the prediction of binding energies with ~ 0.1 eV accuracy, while emerging hybrid machine learning (ML)/DFT approaches have reduced computational costs by several orders of magnitude.

Key Takeaways:

  • The study highlights the limitations of current drug-loading efficiency and controlled release in targeted drug delivery systems, emphasizing the need for precise atomic-level design.
  • The researchers employed density functional theory (DFT) to examine multiple AuNP design challenges, including drug interactions, surface functionalization, and stimuli-responsive behaviors.
  • The DFT approach predicts binding energies with ~ 0.1 eV accuracy and elucidates electronic properties of AuNP-drug complexes, critical for optimizing drug delivery.
  • The study evaluated DFT approaches including gradient-corrected (PBE), hybrid (B3LYP), and meta-GGA (M06-L) functionals, using relativistic basis sets (e.g., LANL2DZ) for Au atoms and polarized sets (e.g., 6-31G(d)) for organic ligands.
  • The research concluded that multiscale approaches integrating DFT with molecular dynamics (MD) and machine learning interatomic potentials (MLIPs) can model extended systems, enabling simulations of AuNP-protein interactions for systems up to 10 atoms with ~ 0.2 eV accuracy.
  • The study has been peer-reviewed and published in the Journal of Molecular Modeling.

Statistics:

  • The computational costs of DFT approaches have been reduced by several orders of magnitude, from ~ 10 to ~ 100 CPU h for a 50 nm AuNP using hybrid ML/DFT.
  • The DFT approach predicts binding energies with ~ 0.1 eV accuracy for thioabiraterone, ensuring stable chemisorption via sulfur-Au bonds, as validated by experimental binding assays.
  • The study covers DFT approaches including gradient-corrected (PBE), hybrid (B3LYP), and meta-GGA (M06-L) functionals, as well as solvent effects modeled via implicit (SMD) or explicit approaches.

Sources:

  • Exploring the role of density functional theory in the design of gold nanoparticles for targeted drug delivery: a systematic review. Journal of Molecular Modeling, 2025;31(7):186.
  • ITMO University, Infochemistry Scientific Center, St. Petersburg, 191002, Russia.
  • Springer, One New York Plaza, Suite 4600, New York, Ny, United States.