A new study led by Associate Professor Tadashi Ando from the Department of Applied Electronics, Tokyo University of Science marks a major step forward in understanding how RNA folds, a key process for unlocking the full potential of RNA-based therapeutics. Published in the journal ACS Omega, the research rigorously evaluated modern computational tools designed to simulate RNA folding with unprecedented accuracy.
Using advanced molecular dynamics simulations, Dr. Ando combined the DESRES-RNA force field with the GB-neck2 implicit solvent model to test how well these tools could reproduce the folding of 26 RNA stem-loop structures ranging from 10 to 36 nucleotides in length. This approach dramatically improved computational efficiency while maintaining high accuracy.
Remarkably, 23 of the 26 RNA molecules successfully folded into their expected shapes. For simpler stem-loops, the predicted structures closely matched experimental data, while even more complex loops with bulges were successfully modeled in most cases. These findings validate the reliability of the combined simulation approach for modeling RNA behavior at larger scales than ever before.
The study highlights key areas for refining RNA modeling, including non-canonical base pairs and magnesium ion effects. Overall, this breakthrough strengthens computational biology’s ability to predict RNA structures, providing a crucial foundation for developing next-generation RNA-based therapies for genetic disorders, cancers, and viral infections.
Image Credit:Associate Professor Tadashi Ando / Tokyo University of Science, Japan (PhysOrg)
