A landscape-based method for modeling how cotranscriptional folding and ligand binding interact in kinetically controlled riboswitches, illustrated with the 2'dG riboswitch from Mesoplasma florum.
A computational workflow for designing ligand-triggered RNA switches, with emphasis on sequence design, folding kinetics, and candidate prioritization.
This paper uses NMR spectroscopy to resolve transcription intermediates of the 2'dG riboswitch at single-nucleotide resolution, showing how transcript length and metastable states govern ligand-controlled switching.
BarMap models RNA folding on changing energy landscapes by linking macrostates between landscape snapshots, enabling efficient analysis of co-transcriptional and externally perturbed folding scenarios.
Kinwalker predicts folding trajectories of large RNAs by combining locally optimal substructures and kinetic heuristics, making co-transcriptional folding analysis feasible for molecules up to about 1500 nucleotides.