Structure-based model for light-harvesting properties of nucleic acid nanostructures

Area of Science:

• Nanotechnology
• Biophysics
• Computational Chemistry

Background:

• Programmed DNA self-assembly allows precise construction of large macromolecular structures.
• These DNA nanostructures can act as scaffolds for light-harvesting molecules.
• The spatial arrangement of chromophores on scaffolds influences optical properties.

Purpose of the Study:

• To develop a computational framework for predicting the optical properties of DNA-based light-harvesting antennas.
• To simulate energy transfer dynamics within synthetic DNA nanostructures.
• To evaluate the efficiency of these nanostructures for photonic applications.

Main Methods:

• Utilized a previously established computational model for DNA nanostructure 3D structure prediction.
• Applied Förster resonance energy transfer (FRET) theory to simulate excitation and energy transfer dynamics.
• Incorporated atomic-level details of DNA and dye composition into simulations.
• Calculated emergent optical properties like absorption spectra and energy transfer efficiency.

Main Results:

• Simulated temporal dynamics of dye excitation and energy transfer in a DNA-based antenna.
• Calculated effective absorption cross-section, absorption and emission spectra.
• Quantified total power transferred to a biomimetic reaction center.
• Demonstrated the influence of nanostructure architecture on optical properties.

Conclusions:

• A structure-based computational framework enables efficient in silico evaluation of DNA nanostructures for light-harvesting.
• This approach facilitates the rational design of synthetic systems for photonic applications.
• The findings are applicable to diverse light-harvesting and photonic technologies.