An efficient algorithm for exploring RNA branching conformations under the nearest-neighbor thermodynamic model

Key Points

• This research aims to enhance the accuracy of RNA structure predictions by exploring different parameterizations.
• Introduced an efficient partitioning algorithm for RNA branching conformations
• Examined the impact of multiloop parameters on prediction accuracy
• Focused on longer sequences and larger datasets
• Identified that conventional multiloop parameters limit prediction accuracy
• Demonstrated feasibility of exploring alternative parameterizations
• Outlined open challenges in finding optimal RNA structures