RPI ID:
2017-042
Innovation Summary:
UNAFold® is a comprehensive software suite designed to simulate and predict nucleic acid folding, hybridization, and melting behavior using experimentally derived free energy parameters. It models secondary structures of single-stranded DNA or RNA, either individually or in pairs, under customizable temperature and salt conditions. The platform supports advanced features such as circular RNA/DNA structure prediction and melting profile simulations incorporating intramolecular base pairing. Enhanced thermodynamic parameters for RNA duplexes enable precise modeling of folding behavior in dynamic or extreme environments, making it a robust tool for both fundamental and applied nucleic acid research.
Challenges / Opportunities:
Accurate prediction of nucleic acid folding and melting remains critical for advancing synthetic biology, therapeutics, and diagnostics. Researchers require tools that can handle complex structures and environmental variability while maintaining computational efficiency. UNAFold® addresses these needs but offers opportunities for integration with machine learning models, cloud-based scalability, and real-time experimental feedback to further enhance predictive accuracy and usability.
Key Benefits / Advantages:
✔ Accurate thermodynamic modeling for DNA and RNA
✔ Flexible input options for diverse sequence types
✔ Advanced melting profile prediction capabilities
✔ Support for circular RNA/DNA structure analysis
✔ Custom temperature range modeling for dynamic conditions
✔ Enhanced duplex and folding predictions with updated parameters
Applications:
• Nucleic Acid Therapeutics
• Synthetic Biology
• Diagnostics
• Computational Biology
• Genomics
Keywords:
nucleic acid folding, RNA secondary structure, thermodynamic modeling, hybridization prediction, computational biology, synthetic biology
Intellectual Property:
Registered Copyright
