Reverse engineering DNA origami nanostructure designs from raw scaffold and staple sequence lists.

Area of Science:

• Nanotechnology
• Synthetic Biology
• Biomolecular Engineering

Background:

• Scaffolded DNA origami nanostructures are typically published only as low-level DNA sequences.
• High-level editable design files (e.g., from caDNAno) are rarely shared, hindering design modification and repurposing.
• This 'raw sequence' format limits the advancement and application of DNA origami technology.

Purpose of the Study:

• To develop the first algorithmic solution for the inverse problem of DNA origami design.
• To convert published staple and scaffold sequences back into a high-level 'guide schematic'.
• To enable the recovery of editable design files and facilitate design verification.

Main Methods:

• Developed an algorithm to solve the inverse problem: converting DNA sequences to a guide schematic.
• The guide schematic aids manual re-input into CAD tools like caDNAno.
• Tested the algorithm on 36 diverse DNA origami designs from scientific literature.

Main Results:

• Successfully recovered a guide schematic from raw sequences for 29 out of 36 (81%) tested DNA origami designs.
• The recovered guide schematic resembles the original origami schematic.
• The method allows for verification of staple strand sequences and predicted assembly before laboratory experiments.

Conclusions:

• The developed algorithm provides the first method to computationally recover high-level editable design files from DNA origami sequences.
• This approach significantly enhances the accessibility and reusability of published DNA origami designs.
• The software is available to facilitate further design, engineering, and error checking in DNA nanotechnology.