Bayesian approximation of RNA folding times
This workshop paper introduces the core KinPFN idea: approximating RNA first-passage-time distributions with a prior-data fitted network trained on synthetic folding-time priors.
Showing only posts tagged RNA folding kinetics. Show all posts.
KinPFN for RNA folding kinetics
KinPFN uses prior-data fitted networks to approximate first-passage-time distributions for RNA folding kinetics orders of magnitude faster than direct simulation.
Co-transcriptional riboswitch modeling with ViennaRNA
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.
In silico design of ligand-triggered RNA switches
A computational workflow for designing ligand-triggered RNA switches, with emphasis on sequence design, folding kinetics, and candidate prioritization.
Predicting RNA structures from sequence and probing data
This review explains how classical thermodynamic RNA folding models can be improved with chemical probing data, and why that combination remains one of the most reliable routes to biologically useful structure prediction.
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