On secondary structure avoidance of codes for DNA storage.

Area of Science:

• Biotechnology
• Bioinformatics
• Molecular Biology

Background:

• Single-stranded DNA (ssDNA) can form secondary structures, leading to functional issues and data loss in DNA storage.
• Secondary structure avoidance (SSA) is essential for robust ssDNA sequence design in data storage applications.
• Existing methods may struggle with specific structural constraints like stem and loop lengths.

Purpose of the Study:

• To address the critical challenge of secondary structure avoidance in single-stranded DNA sequences for DNA storage.
• To develop and validate a novel sequence replacement approach for resolving SSA.
• To ensure the practical applicability of the method by considering realistic biochemical parameters.

Main Methods:

• A novel sequence replacement strategy was developed to identify and modify subsequences prone to forming secondary structures.
• The method specifically targets and resolves SSA for stem lengths greater than a defined threshold and loop lengths.
• The approach was designed to mimic conditions found in real-world biochemical processes.

Main Results:

• The proposed sequence replacement approach successfully resolves the secondary structure avoidance problem.
• The method is effective under specific conditions relevant to biochemical processes, particularly for longer stems and loops.
• Demonstrated ability to prevent self-folding in ssDNA sequences designed for data storage.

Conclusions:

• The novel sequence replacement method offers a viable solution for achieving secondary structure avoidance in ssDNA.
• This approach enhances the reliability and stability of DNA storage systems by preventing functional inactivity caused by DNA self-folding.
• The study provides a practical tool for designing high-integrity ssDNA sequences for advanced data storage applications.