MrDNA: a multi-resolution model for predicting the structure and dynamics of DNA systems

Area of Science:

• Structural DNA nanotechnology
• Computational biophysics
• Nanomaterial design

Background:

• Designing complex 3D DNA nanostructures is challenging and requires extensive experimental characterization.
• Current methods for analyzing self-assembled DNA objects are often time-consuming, hindering rapid design iterations.

Purpose of the Study:

• To introduce mrdna, a novel multi-resolution simulation framework for rapid, atomistic-resolution structural analysis of DNA nanosystems.
• To accelerate the de novo design and characterization of complex 3D DNA nanostructures and functional devices.

Main Methods:

• Development of the mrdna simulation framework, implemented as an open-source Python package.
• Utilizing a multi-resolution approach to achieve atomistic-level structural prediction.
• Validation through direct comparison with cryo-electron microscopy (cryo-EM) data for multiple 3D DNA origami objects.

Main Results:

• mrdna successfully produces atomistic-resolution structures of self-assembled DNA nanosystems in 30 minutes or less.
• Simulation results show high fidelity when compared with experimental cryo-EM reconstructions.
• The framework can characterize dynamic DNA nanostructures, off-lattice self-assembled objects, and analyze behavior under environmental conditions like electric fields.

Conclusions:

• The mrdna framework significantly accelerates the design and characterization process in structural DNA nanotechnology.
• Its open-source nature and broad applicability facilitate community extension and integration with existing design tools.
• mrdna enables efficient study of DNA nanostructure dynamics, equilibrium, and response to external stimuli.