MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.
Statistical modeling of RNA structure profiling experiments enables parsimonious reconstruction of structure landscapes.Nature Communications, 9(1):606, February 2018
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MERGE-RNA: a physics-based model to predict RNA secondary structure ensembles with chemical probing
MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.